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Scoliosis treatment: The importance of patient education and support groups
 
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Watch John Thometz, MD, talk about the importance of patient education and support groups in scoliosis treatment from the Scoliosis Program at Children's Hospital of Wisconsin. Learn more and watch additional videos: http://www.chw.org/display/PPF/DocID/48018/Nav/1/router.asp
Просмотров: 207 Children's Hospital of Wisconsin
Cancer patient turns to support groups for strength
 
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http://www.mdanderson.org/patient-and-cancer-information/guide-to-md-anderson/patient-and-family-support/support-groups.html "I wish I had done it sooner," said Mike Snyder, an advocate for support groups. "By sharing our hopes, our fears and everything in between, we're calmer and less stressed about our cancer. Releasing that stress in a positive manner lets our body use its energy elsewhere. The result is we're helping ourselves become stronger and better prepared to move forward in our cancer battle." Like us on Facebook https://www.facebook.com/MDAnderson and learn from more survivors like Mike.
Просмотров: 136 MD Anderson Cancer Center
College Starts Displaced worker support group
 
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WBAY in Northeast Wisconsin features a unique response by Lakeshore Technical College to set up support groups for displaced workers.
Просмотров: 113 Wisconsin Technical Colleges
Machine Learning with Scikit-Learn - The Cancer Dataset - 2
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%202.ipynb Paperspace $10 credit: https://www.paperspace.com/&R=KK9TXR5 Machine Learning group: https://www.facebook.com/groups/codingintelligence/ Support these educational videos: https://www.patreon.com/cristivlad In this video: - the pre-requisites and imports necessary for the tutorial if you want to code along.
Просмотров: 7363 Cristi Vlad
How can a support group help epilepsy patients and their caregivers? (Tami Maier, epilepsy patient)
 
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Tami Maier talks about her epilepsy symptoms and diagnosis. Tami is a patient of the Froedtert & the Medical College of Wisconsin Comprehensive Epilepsy Program. http://www.froedtert.com/epilepsy
MESOTHELIOMA | New Mesothelioma Treatment Options
 
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New Mesothelioma Treatment Options are emerging in the Skyline WHAT IS MESOTHELIOMA Also called: Malignant mesothelioma / malignant pleural mesothelioma (MPM) - Mesothelioma is an aggressive deadly painful form of cancer that targets the lining of the abdomen - Mesothelioma is a rare form of cancer that develops from cells of the mesothelium - Mesothelioma is usually caused by exposure to asbestos - United States in the top ten countries of mesothelioma deaths IS MALIGNANT PLEURAL MESOTHELIOMA TREATABLE? Renowned mesothelioma specialists say there are several emerging treatment options for mesothelioma in ongoing clinical trials across the country Some of the newest potential drugs and therapies currently tested include immunotherapies that boost a patient's immune system and drugs that slow the growth of new blood vessels to tumors, among others. 1.Anti-mesothelin antibodies 2.CRS-27 Vaccine 3.Avastin 4.Dendritic Cell Vaccine 5.Gene Therapy 6.Cryotherapy 7.Photodynamic Therapy 8.Iodine-Povidone Wash PAUL KRAUS: THE LONGEST LIVING MESOTHELIOMA SURVIVOR IN THE WORLD He believes that “people can conquer cancer because there is far more to this illness than just a doctor’s bad news.” Your feedback is highly appreciated YOUR COMMENT will help us to improve our ability to serve you Please HIT “Subscribe | Like | Share “if you Support us KEYWORDS: radiation therapy, kidney cancer, asbestos removal, asbesto, prostate cancer treatment, asbestosis, mesothelioma symptoms, cure for cancer, occupational health and safety, cancer treatment, cancer centers of america, cancer cure, cancer cell, asbestos exposure, asbestos testing, clinical trial, breast cancer treatment, lung cancer treatment, what is asbestos, cancer cells, popcorn ceiling, heart cancer, chemotherapy drugs, mesothelioma diagnosis, what is mesothelioma, mesothelium, skin cancer treatment, melanoma treatment, bladder cancer treatment, melanoma cancer, asbestos removal cost, liver cancer treatment, mesothelioma law firm, mesothelioma causes, mesothelioma cancer, mesothelioma lung cancer, cancer center, abestos, aspestos, breast cancer treatments, mesothelioma symptom, cancer treatments, asbestos abatement, asbestos insulation, thyroid cancer treatment, cancer care, cancer facts, mesothelioma prognosis, asbestos awareness, treatment for prostate cancer, alternative cancer treatments, ovarian cancer treatment, cancer drugs, asbestos survey, asbestos cancer, contract research organization, clinicaltrials, pancreatic cancer treatment, treatment for lung cancer, cancer support groups, asbestos symptoms, natural cancer cures, cancer cures, cancer blogs, paid research studies, medical studies, cancer information, medical trials, clinical studies, hse asbestos, prostate cancer treatment options, prostate cancer treatments, treatment for breast cancer, symptoms of mesothelioma, new cancer treatments, testicular cancer treatment, cancer therapy, asbestos regulations, cancer stories, clinical trial phases, treatment for cancer, cancer support, mesothelioma lawsuit, mesothelioma lawyers, peritoneal mesothelioma, mesothelioma treatment, asbestos lawyers, clinical trials phases, cancer treatment options, asbestos training, cure for cancer found, asbestos tile, asbestos floor tiles, kidney cancer treatment, cancer institute, asbestos ceiling tiles, natural cures for cancer, define asbestos, mesothelioma law firm articles, mesothelioma class action lawsuit, dr sugarbaker mesothelioma, asbestos cancer lawsuit, tennessee mesothelioma attorney, mesothelioma lawsuits, florida mesothelioma attorney, mesothelioma compensation claims, michigan mesothelioma lawyer, mesathelioma, mesothelioma compensation fund, mesothelioma doctors, mesothelioma of the lung, baltimore mesothelioma attorneys, desmoplastic mesothelioma, mesothelioma claim, cure for mesothelioma, mesothelioma lawsuit settlements, mesothelioma class action, mesothelioma law, mesothelioma help, texas mesothelioma lawyer, mesothelioma law suit, mesothelioma claims, the mesothelioma center, malignant pleural mesothelioma survival rate, best mesothelioma lawyers, malignant epithelioid mesothelioma, mesothelioma survivors, mesothelioma lawyers san diego, treatment mesothelioma, mesothelioma is caused by exposure to, mesothelioma attorneys, washington mesothelioma lawyer, california mesothelioma lawyer, mesothelioma cause, georgia mesothelioma lawyer, mesothelioma of the peritoneum, diagnosing mesothelioma, surviving mesothelioma, mesothelia, peritoneal mesothelioma life expectancy, seattle mesothelioma lawyer, stage 1 mesothelioma, treatments for mesothelioma, mesothelioma lawsuit, mesothelioma payouts, peritoneal mesothelioma survival rate, mesothelioma etiology, malignant pleural mesothelioma, best mesothelioma doctors, mesotheliomas, Pennsylvania mesothelioma lawyer, mesothelioma prognosis stage 3, epithelial mesothelioma, mesothelioma asbestos, mesothelioma stage 4, mesothelioma asbestos lawyer
Просмотров: 6957 YouTube News
Child and Family Services - Family Support Groups
 
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Catholic Charities’ network of family support groups provide vital family-to-family support for families of children and youth with mental or behavioral health problems.
Просмотров: 280 Catholic Charities Baltimore
Chaplain Dennis Richards discusses Grief support & Counseling on Public Report WWRS TV 52 Milwaukee
 
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Dennis Richards, Chaplain & Bereavement Counselor for Hillside Hospice in Beaver Dam, Wisconsin, discusses the importance of and benefits to Grief support groups and professional Bereavement counseling for individuals with the loss of loved ones.
Просмотров: 142 Dp Ricardo
Trans veteran finds support, strength and a new path
 
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Brittyn Calyx (conservation and environmental science) had to withdraw from school because of a hospitalization and depression. She found some purpose in joining the Wisconsin Army National Guard and returning to UWM. Eventually, she came out as trans and was discharged from the military under “don’t ask, don’t tell.” She felt alone and isolated, but UWM’s LGBT Resource Center provided crucial support. A birding group at the Urban Ecology Center brought further solace, and pointed the way to a new path in life. Learn more about UWM: http://go.uwm.edu/2j3GuCD Get more UWM: Facebook: https://www.facebook.com/UWMilwaukee/ Instagram: https://www.instagram.com/uwmilwaukee/ Snapchat: https://www.snapchat.com/add/uwmilwaukee Twitter: https://twitter.com/uwm YouTube: https://www.youtube.com/user/uwmnews
Просмотров: 382 UW-Milwaukee
Lung Cancer Comprehensive Health Enhancement Support System
 
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Created at the Center for Health Enhancement Systems Studies at the University of Wisconsin, this CHESS program is aimed mainly at improving the lives of caregivers as they helped a family member with lung cancer.
Просмотров: 138 CHESSwisc
Colette Powell, MSW, Cancer Social Worker
 
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To get past cancer, you push yourself harder than you ever thought possible. So do we at the UW Cancer Center at ProHealth Care. Relentlessly collaborating to bring you more specialists, personalized treatments and lifesaving alternatives. All so you can put cancer behind you. See the inspiring stories of our patients and our cancer care team at RelentlessTogether.org.
Просмотров: 188 ProHealthCare
Caring for the Caregiver - Keynote Wisconsin State Alzheimer's Conference
 
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http://www.CareGiverHelp.com Elaine and her husband, Dr. Alex Sanchez developed Caregiver Help, an online support group program that focuses on helping people cope with the emotional stress of caregiving. They also help participants develop their own personalized caregiver survival plan. Elaine K Sanchez is the author of the tender, gritty, and uproariously funny book, "Letters from Madelyn, Chronicles of a Caregiver". Her keynotes and workshops are based on her own experience of caring for family elders, the real-life caregiving experiences of her mother, a Kansas farm wife, who cared for Elaine's dad for six-and-a-half years following his debilitating stroke, and on the journals of Dorothy Tucker, a nurse who worked in nursing homes and on Alzehimer's units for 30 years. Elaine's program "Alzheimer's Survival Training" is approved by the NAB for 3.75 CEU's for nurses and long-term care administrators in most states. It is available online at www:/CEU's-R-EZ.com. When Elaine presents her program Creating a Caring Community, she can provide a certificate for 3.75 CEU's for nurses and long-term care administrators. Elaine's partial client list includes: Rock County Council on Aging, Janesville, WI Froedtert and the Wisconsin College of Medicine, The American Parkinson's Disease Association, Wisconsin Chapter, and The Huntington's Disease Society of America, Wisconsin Chapter Catholic Charities, Cincinnati, OH Rural Resources, Pullman Washington LeadingAge Kansas, Wichita, KS Montana Gerontology Society Bozeman, MT National Health Care Corporation, Murfreesboro, TN Inova Health System, Fairfax, VA The Kensington, White Plains, NY Department of Mental Health, State of Mississippi, Alzheimer's Conference, Olive Branch, MS Alzeimer's Associations, Northern California & Northern Nevada; Macon, GA; The Dells, WI; Sioux City, IA; Portland, OR; Long Island, NY Oregon State University Gerontology Conference, Corvallis, OR Parkinson's Resources of Oregon Prestige Care Living, LLC Kansas Area Agencies on Aging Association, Kansas City, Kansas The Co-Founder of CaregiverHelp.com is Elaine's husband, Dr. Alex Sanchez, who recently retired from Oregon State University after teaching a doctoral program in Community College Administration. He earned his Masters in Counseling and his Doctorate in Education from New Mexico State University, and served in a variety of leadership roles in higher education, including 15 years as a community college president in California and New Mexico. He cared for his first wife through her illness with lung cancer, provided financially for his former mother-in-law through the end of her life, and was an active and supportive partner in caring for Elaine's parents through their 10-year end-of-life journey. To contact Elaine about speaking to your organization, or to talk about how CaregiverHelp.com can meet the needs of your organization, contact her at Elaine@EKSanchez.com or call 503-949-2464. Elaine Sanchez 503-949-2464 elaine@eksanchez.com www.ElaineKSanchez.com www.CaregiverHelp.com
Просмотров: 3927 Elaine K Sanchez
The Importance of Constituent-Specific TBI Support Groups
 
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Having a loved one with TBI can be very confusing and painful, especially at first. Joining a support group with others dealing specifically with the same issues can make a world of difference.
Просмотров: 141 brainline
Machine Learning with Scikit-Learn - The Cancer Dataset - 28 - SVMs 4
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2028%20-%20SVMs%204.ipynb In this machine learning video we look at the scale of each feature for the cancer samples in our dataset. We try to understand how the unscaled data can lead to the poor performance of our support vector machine classifier (SVC), which is overfitting; SVMs are sensitive to the scaling of the data. We used matplotlib for visualization purposes. Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended readings: 1. Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/ 2. Aurelien Geron: Hands-On Machine Learning with Scikit-Learn and TensorFlow: https://www.amazon.com/dp/B06XNKV5TS/
Просмотров: 829 Cristi Vlad
Machine Learning with Scikit-Learn - The Cancer Dataset - 27 - SVMs 3
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2027%20-%20SVMs%203.ipynb In this machine learning tutorial we're training a support vector machine (SVM) classifier or SVC with an RBF kernel on the cancer dataset in scikit-learn. Using it with the default parameters seems to lead to overfitting the (training) data and it also leads to a relatively poor performance on the test subset. We're gonna try to remediate this by looking into the scaling of the data and also into hyperparameters such as the C parameter and gamma. Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended readings: 1. Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/ 2. Aurelien Geron: Hands-On Machine Learning with Scikit-Learn and TensorFlow: https://www.amazon.com/dp/B06XNKV5TS/
Просмотров: 903 Cristi Vlad
Machine Learning with Scikit-Learn - The Cancer Dataset - 32 - The Decision Function
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2032%20-%20The%20Decision%20Function.ipynb In this machine learning tutorial we start discussing about and looking into uncertainty estimation in scikit-learn. We use the recently trained SVM on the cancer dataset (that we built over the previous few videos) to inspect the decision function, in detail (the raw values) and more abstractly (using Boolean interrogations). This helps us better understand how our algorithm 'makes' decisions. Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended readings: 1. Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/ 2. Aurelien Geron: Hands-On Machine Learning with Scikit-Learn and TensorFlow: https://www.amazon.com/dp/B06XNKV5TS/
Просмотров: 901 Cristi Vlad
Machine Learning with Scikit-Learn - The Cancer Dataset - 4 - Process Outline
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%204%20-%20Process%20Outline.ipynb Machine Learning group: https://www.facebook.com/groups/codingintelligence/ Support these educational videos: https://www.patreon.com/cristivlad In this video I explain the typical outline process or timeline of a machine learning project with scikit-learn. I also explain how it applies to our current project, with the cancer dataset.
Просмотров: 3924 Cristi Vlad
Women In Trout Unlimited with Narrative
 
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Women in Trout Unlimited working together to create a community of conservation anglers, connecting with other women across the country in outreach to Veteran's, Cancer Support Groups and Youth Education and Outreach. Trout Unlimited chapters offer women's fly fishing classes and events as well as networking with women fly fisherman and conservationists. Women's Trout Unlimited membership includes discounted fly fishing gear, Trout Magazine, Trout Unlimited Calendar and the opportunity to contribute to cold-water conservation. Trout Unlimited, 'We Make Fishing Better'.
Просмотров: 137 TroutUnlimitedNatl
Machine Learning with Scikit-Learn - The Cancer Dataset - 31 - SVMs 7
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2031%20-%20SVMs%207.ipynb In this machine learning tutorial we recap the strong and weak points of support vector machines (SVMs). We briefly review hyper-parameter tuning; and also discuss about alternative models that could be used instead of SVMs. Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended readings: 1. Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/ 2. Aurelien Geron: Hands-On Machine Learning with Scikit-Learn and TensorFlow: https://www.amazon.com/dp/B06XNKV5TS/
Просмотров: 713 Cristi Vlad
Machine Learning with Scikit-Learn - The Cancer Dataset - 25 - SVMs 1
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2025%20-%20SVMs%201.ipynb In this first tutorial on support vector machines (SVMs) with scikit-learn we look at some introductory concepts of this algorithm. We also look at the similarities of other models and SVMs and the potential superiority of SVMs due to their added layer of complexity. Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended reading: Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/
Просмотров: 1227 Cristi Vlad
Machine Learning with Scikit-Learn - The Cancer Dataset - 16 - Random Forests 1
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2016%20-%20Random%20Forests%201.ipynb In this machine learning tutorial we introduce and describe Random Forest Classifiers. Then we train a Random Forest on the cancer dataset that comes with scikit-learn - in a few lines of Python code. RF usually provide better prediction accuracy over single Decision Trees and they tend to overfit less... Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended reading: Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/
Просмотров: 2974 Cristi Vlad
Hope and support for people with traumatic brain injuries
 
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"I enjoy gardening, and I'd rather not do it at my house," said Linn Hilderbrand, with a laugh. Hilderbrand and other volunteers spend several days each week working in the community garden near Salem Hospital's Regional Rehabilitation Center. They're also survivors of traumatic brain injury and taking part in horticultural therapy, which is designed to provide purpose, structure and a reward for their effort. "I personally have had a brain aneurism. I've had a brain tumor, brain cancer, and an infection in my brain. I've had to have three brain surgeries," said Hilderbrand. The Centers for Disease Control and Prevention estimates 1.7 million Americans sustain a traumatic brain injury every year. The leading causes are falls and car accidents. "Some people can't talk. Some people are in wheelchairs. Some people are blind. Some people will never, ever wake up again. That's how damaging and severe the brain injuries are," said Hilderbrand. "People who've not had a brain injury really have no idea what's going on. You try to explain it to them ... they have no idea." But Hilderbrand found a common bond with a growing number of people who are part of the Salem Brain Injury Support Group. The group originally started more than 20 years ago, with the help of Salem Hospital therapists. Now, around 30 people gather every Friday at IKE Box Coffee Shop—plus meet monthly at Salem Hospital's Regional Rehabilitation Center. "They've developed really close friendships that I think some of them will last a lifetime," said Megan Snider, therapy aide and the group's facilitator. Snider says besides making friendships, another goal for the group is to become more independent—plus find comfort in knowing they're not alone. "I strongly encourage finding a support system. It's very, very important," said Snider. "They're not only helping themselves, but they're helping others too ... and everybody benefits. I feel they've made me a better person." "It's people who know what I'm going through," said Allison O'Grady, a traumatic brain injury survivor. O'Grady has been part of the group for 15 years. Her life changed forever in 1995. "I was getting ready to go rock climbing with my boyfriend up in Portland at Rocky Butte Quarry ... and I fell 60 feet instead," said O'Grady. "They had to take out a section of my skull over here on my right side, which gave me left side paralysis. I unfortunately had two and a half years of schooling at a university, lost all my schooling and forgot how to read." The support group plays a vital role for people dealing with the consequences of brain injury—and many have an innate need to be understood and accepted. Over the years, O'Grady decided to become active. She now does extensive volunteer work for several Salem area organizations. "I may have fallen off a cliff, but look at what else I've done with my life ... because there's a lot more to me than just having my accident," said O'Grady. "Your life has changed. Some things will never be the same," said Snider. "But you can grow from where you are ... and our group is a great, perfect example of that." "The wonder of this group and how it's so supportive for everybody who comes," said O'Grady. "These are my friends," said Hilderbrand. "That's as good as it gets, I guess." Salem Health is comprised of Salem Hospital, West Valley Hospital, Willamette Health Partners and other affiliated health care organizations offering exceptional care to people in and around Oregon's mid-Willamette Valley. Visit us at salemhealth.org; "Like" us on facebook.com/salemhealth; and follow us on Twitter: @salemhealth.
Просмотров: 1474 Salem Health
Machine Learning with Scikit-Learn - The Cancer Dataset - 33 - Predict Proba
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2033%20-%20Predict%20Proba.ipynb In this machine learning tutorial we're looking at another method of uncertainty estimation in scikit-learn, and that is about predicting probabilities (predict_proba). In my view, this is easier to understand compared to the decision function. The implementation is relatively easy: we're using the same support vector machine (SVC) classifier trained on the cancer dataset from previous tutorials for illustration purposes. Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended readings: 1. Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/ 2. Aurelien Geron: Hands-On Machine Learning with Scikit-Learn and TensorFlow: https://www.amazon.com/dp/B06XNKV5TS/
Просмотров: 1295 Cristi Vlad
Support Programs at the Ruttenberg Treatment Center
 
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Stephanie Pelosi, Social Work Program Coordinator, discusses the variety of support and wellness programs available to cancer patients and their families at Mount Sinai's Derald H. Ruttenberg Treatment Center of The Tisch Cancer Institute at The Mount Sinai Hospital. We offer disease-specific support groups, therapeutic massage, creative arts, pet therapy, educational workshops, and more. Learn more information at http://bit.ly/1oGT6dy
Просмотров: 481 Mount Sinai Health System
Machine Learning with Scikit-Learn - The Cancer Dataset - 26 - SVMs 2
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2026%20-%20SVMs%202.ipynb In this tutorial we learn about the kernel trick, which is used to augment the performance of support vector machines (SVMs), especially when it comes to non-linear data. It's called a trick because it enables computational complexity without computation burden and the mathematics of it is just beautiful. Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended readings: 1. Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/ 2. Aurelien Geron: Hands-On Machine Learning with Scikit-Learn and TensorFlow: https://www.amazon.com/dp/B06XNKV5TS/ Sebastian Thrun's explanation: https://www.youtube.com/watch?v=3Xw6FKYP7e4
Просмотров: 1150 Cristi Vlad
Machine Learning with Scikit-Learn - The Cancer Dataset - 18 - Random Forests 3
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2018%20-%20Random%20Forests%203.ipynb In this machine learning video we review the strong and the weak points of Random Forests. We also look at how and what parameters we can tune in scikit-learn to improve the performance of this algorithm. Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended reading: Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/
Просмотров: 1267 Cristi Vlad
UMMC Palliative Care Program
 
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This video provides an overview of UMMC's Palliative Care program and team, the roles they play and the services they provide to address patients' spiritual, intellectual and social needs to make them as comfortable as possible. Related Links: UMMC Palliative Care Program http://www.umm.edu/palliative/index.htm Services We Offer for General Patients http://www.umm.edu/palliative/services.htm Services We Offer for Cancer Patients http://www.umgcc.org/patient_info/pall_care.htm Palliative Care vs. Hospice Care http://www.umm.edu/palliative/palliative_hospice.htm Community Support Groups http://www.umm.edu/resources/support_group.htm Distributed by Tubemogul.
Просмотров: 271 UMMCVideos
Machine Learning with Scikit-Learn - The Cancer Dataset - 22 - Neural Networks 4
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2022%20-%20Neural%20Networks%204.ipynb In this machine learning video, we optimize the performance of a neural network on a cancer dataset by tuning its parameters. Specifically, we strengthen the regularization of the model by adjusting the alpha parameter. As a bonus, we review the numerous parameters and options of multi-layer perceptrons and how we can access their documentation directly in the notebook. Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended reading: Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/
Просмотров: 1455 Cristi Vlad
Heath’s Story: How art is helping his family heal after their painful loss (Full video)
 
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Donate now: https://albertacancer.ca/donate/healing-arts#PC62485_351=YouTube We have the opportunity to support families across Alberta through their cancer journey. By giving them access to expressive art therapy, children and adults are better able to cope with their diagnoses, heal from treatment, and build resilience for the future. We have committed $300,000 to a Healing Arts program and need your support. This program within CancerControl Alberta relies solely on Alberta Cancer Foundation donor support to help as many patients and families as possible. Art therapists can be there throughout the journey—from diagnosis to end of life and after. Give today: https://albertacancer.ca/investment-priorities/healing-arts#yt Heath McCoy strongly believes in the healing power of art. In 2015, he had to do the unthinkable: tell his seven-year-old-daughter, Bronwyn, and four-year-old son, Finn, their mother had died. Tamara Gignac had been diagnosed with terminal colorectal cancer a year earlier and the family made one last trip to Mexico so she could fulfill her wish of feeling the sand under her feet and watch her children play in the waves. She deteriorated quickly on that trip and ended up being flown back to Calgary via air ambulance. Heath and his children were at Tamara’s bedside in her final moments to say goodbye, which he describes as the most traumatic part of their cancer experience. “I remember telling my daughter that this is the time we have to say goodbye to mommy and I remember she screamed and she kicked,” says Heath. “She had a physical reaction and I held her as tightly as I could and tried to take away her pain. I could feel her agony, I could feel her writhing in my arms. And I remember my son, he couldn’t grasp it as well, but he was crying and crying because he felt like he had done something wrong, to hurt his mom. It was really traumatic.” Thankfully, there are ways to help children and families through this physically and mentally traumatic time. Krista Marsden, provincial co-ordinator of Healing Arts says art therapists often hear from children who think they are to blame for a parent “going away.” “A cancer diagnosis and even more, the loss of a parent, can impact someone’s lifelong trajectory,” says Marsden. “The love story the dying parent and child share can be beautiful—art therapy can help children see everything that parent is doing or has done to live those extra days to hold them and to have those extra moments together. “It helps them not to see the blame but to see the love in that and set them up in their life to be resilient and healthy.” Heath and his children are rebuilding a new life together as a family of three and along the way, he has seen the benefi ts of art in his own children. It became a refuge from the intense emotions associated with their loss. He would watch them do something simple like draw, colour or write a poem that had nothing to do with their mother but before long, that peaceful, meditative time to refl ect would help feelings emerge. “I always tell them their mother is in their heart and it was remarkable to see how art would calm them down, bring them a little peace and help them feel closer to her. What better way for them to feel mommy in their hearts than when they’re in that artistic space, maybe writing a poem or painting a picture of her?” The demand for creative art therapy visits is steadily increasing. Last year, the Tom Baker Cancer Centre and the Cross Cancer Institute saw almost 3,000 creative arts therapy visits, ranging from individual/family sessions to group-based workshops. Therapists also spend time in palliative care units in the cancer centres, facilitating activities that improve quality of life for cancer patients. During this time, patients and family members can create meaningful legacy art projects as well as share in creative activities in the time they have together. There are often waiting lists to see a therapist. The volume of group programs has also been limited. We are in urgent need of $300,000 so we don’t have to turn away patients or families. Together, we have the power to change lives. Be part of this $300,000 investment that will make life better for Albertans facing cancer by donating today: https://albertacancer.ca/investment-priorities/healing-arts#yt Your support will help improve the quality of life of patients which can have a positive impact on health outcomes. Your support can help families heal and build resilience. Thank you for making life better for Albertans facing cancer.
Просмотров: 3200 Alberta Cancer Foundation
Machine Learning with Scikit-Learn - The Cancer Dataset - 29 - SVMs 5
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code:https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2029%20-%20SVMs%205.ipynb This machine learning video is all about data scaling. In scikit-learn you can simply do this in one or two lines of code, using the StandardScaler or the MinMaxScaler for example. We're not gonna do that thought; at least not for now. Instead, we're gonna scale the data by hand, which is also quite simple and straightforward; additionally, doing it by hand provides a better understanding of the whole process. As we can see, scaling the data leads to much better performance of our SVM classifier on the cancer dataset. Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended readings: 1. Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/ 2. Aurelien Geron: Hands-On Machine Learning with Scikit-Learn and TensorFlow: https://www.amazon.com/dp/B06XNKV5TS/
Просмотров: 918 Cristi Vlad
Machine Learning with Scikit-Learn - The Cancer Dataset - 21 - Neural Networks 3
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2021%20-%20Neural%20Networks%203.ipynb In this machine learning video, we learn how to scale the data (features) that goes into a neural network (a multilayer perceptron in scikit-learn) for the purpose of predicting whether a tumor sample is malignant or benign. Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended reading: Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/
Просмотров: 1551 Cristi Vlad
In-Patient Care Beloit, WI
 
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Website: www.beloitregionalhospice.com Phone: 608-363-7421 Description: Since 1982, Beloit Regional Hospice has been providing comfort and quality of life care for patients and families in Northern Illinois and Southern Wisconsin. When a cure may no longer be the goal, Beloit Regional Hospice can help. Our caring team of professionals will provide information on options and help alleviate pain and other symptoms for those with a serious illness. Let us help you work through the physical, emotional and spiritual stress you may be experiencing as well as the social needs of your family and friends. In addition to hospice care, we also provide many other services. Our grief support groups and services provide assistance for children, teens and adults in the Stateline area. Our Transitions Palliative Care Program aims to help individuals cope with the day-to-day struggle of life-limiting illness through emotional and spiritual support. If you’re interested in volunteering with our patients, at events, or in many other ways, we would love to welcome you as a part of our team! At Beloit Regional Hospice, our mission is to help make each moment of remaining life as full and comfortable as possible. For more information on what we can do for you and your loved ones, please call 608-363-7421 or visit www.beloitregionalhospice.com.
Просмотров: 1 DigitalMarketing
Machine Learning with Scikit-Learn - The Cancer Dataset - 10 - Logistic Regression 3
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2010%20-%20Logistic%20Regression%203.ipynb Machine Learning group: https://www.facebook.com/groups/codingintelligence/ Support these educational videos: https://www.patreon.com/cristivlad In this machine learning video we look under the hood of Logistic Regression. More specifically, on how it decides based on a linear function of the input features. Remember y=mx+b from maths? We also look at a plot of feature weights (for different 'c' values) and how they impact the algorithm's accuracy on the cancer dataset in scikit-learn. Recommended reading: Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/
Просмотров: 2195 Cristi Vlad
Machine Learning with Scikit-Learn - The Cancer Dataset - 23 - Neural Networks 5
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2023%20-%20Neural%20Networks%205.ipynb In this machine learning video with scikit-learn, we use matplotlib to plot the weight matrix of a neural network for the 30 or so features that describe each sample of our cancer dataset. Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended reading: Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/
Просмотров: 1285 Cristi Vlad
Machine Learning with Scikit-Learn - The Cancer Dataset - 6 - KNN 2
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%206%20-%20KNN%202.ipynb Machine Learning group: https://www.facebook.com/groups/codingintelligence/ Support these educational videos: https://www.patreon.com/cristivlad In this video I set up, train, and evaluate KNeighborsClassifier (KNN - K-Nearest-Neighbors) on the cancer dataset in scikit-learn. Recommended reading: Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/
Просмотров: 3348 Cristi Vlad
Surgical Palliation for Rectal Cancer
 
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Surgical Palliation for Rectal Cancer - Pasithorn Suwanabol, MD
The Cancer Caring Center's Art Therapy | UPMC's Partner for Healthy Living
 
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The Cancer Caring Center has provided free emotional support to cancer patients since 1988. The center believes that no one should cope with cancer alone. They offer a variety of support groups and activities to adults and children. To learn more about the Cancer Caring Center, visit: http://cancercaring.org/ To learn more about UPMC's other Partners for Healthy Living: http://community.upmc.com/.
Просмотров: 142 UPMC
Machine Learning with Scikit-Learn - The Cancer Dataset - 8 - Logistic Regression 1
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%208%20-%20Logistic%20Regression%201.ipynb Machine Learning group: https://www.facebook.com/groups/codingintelligence/ Support these educational videos: https://www.patreon.com/cristivlad In this video, I apply the Logistic Regression algorithm in scikit-learn on the cancer dataset and compare it with KNN in terms of accurately classifying tumors as being malignant or benign. Recommended reading: Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/
Просмотров: 5314 Cristi Vlad
Machine Learning with Scikit-Learn - The Cancer Dataset - 5 - KNN 1
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%205%20-%20KNN%201.ipynb Machine Learning group: https://www.facebook.com/groups/codingintelligence/ Support these educational videos: https://www.patreon.com/cristivlad In this video I explain how KNeighborsClassifier (KNN - K-Nearest-Neighbors) works in scikit-learn with reference to the cancer dataset. Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/ Mglearn: https://github.com/amueller/mglearn
Просмотров: 3920 Cristi Vlad
Machine Learning with Scikit-Learn - The Cancer Dataset - 30 - SVMs 6
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2030%20-%20SVMs%206.ipynb In this machine learning tutorial we are going to adjust a hyper-parameter of our support vector classifier (SVC) in scikit-learn. There are numerous parameters that we could tune in, but here we are solely focusing on the C parameter, which controls the complexity of our model. By default, C is set to 1, and with C=1 we are underfitting on the scaled data. We're increasing C to 1000 and we retrain the support vector machine on the cancer dataset. The performance of the algorithm increases significantly. Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended readings: 1. Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/ 2. Aurelien Geron: Hands-On Machine Learning with Scikit-Learn and TensorFlow: https://www.amazon.com/dp/B06XNKV5TS/
Просмотров: 793 Cristi Vlad
The Legacy of Breast Cancer - Part I
 
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Breast cancer is a particular concern among African American women, who face a significantly higher risk of dying from the disease compared with women in other ethnic groups. In this video, African-American women along with health care providers from Froedtert & The Medical College of Wisconsin share their experiences with breast cancer and talk about the importance of early detection. The video is the work of a community-based research team. Members represent a partnership between Froedtert & The Medical College of Wisconsin and the Milwaukee community, with deep appreciation for support from the Elder Community Health Upholders. Funded by the American Cancer Society and the Froedtert Hospital Foundation. Special thanks to the courageous women who shared their stories in this video.
Machine Learning with Scikit-Learn - The Cancer Dataset - 1
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. Machine Learning group: https://www.facebook.com/groups/codingintelligence/ Paperspace $10 credit: https://www.paperspace.com/&R=KK9TXR5 Support these educational videos: https://www.patreon.com/cristivlad
Просмотров: 15454 Cristi Vlad
The Legacy of Breast Cancer - Part II
 
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Breast cancer is a particular concern among African American women, who face a significantly higher risk of dying from the disease compared with women in other ethnic groups. In this video, African-American women along with health care providers from Froedtert & The Medical College of Wisconsin share their experiences with breast cancer and talk about the importance of early detection. The video is the work of a community-based research team. Members represent a partnership between Froedtert & The Medical College of Wisconsin and the Milwaukee community, with deep appreciation for support from the Elder Community Health Upholders. Funded by the American Cancer Society and the Froedtert Hospital Foundation. Special thanks to the courageous women who shared their stories in this video.
Machine Learning with Scikit-Learn - The Cancer Dataset - 7 - KNN 3
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%207%20-%20KNN%203.ipynb Machine Learning group: https://www.facebook.com/groups/codingintelligence/ Support these educational videos: https://www.patreon.com/cristivlad In this video, I loop through 1 to 10 n_neighbors to determine which configuration yields optimal results for the KNN algorithm on the cancer dataset in scikit-learn. Recommended reading: Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/
Просмотров: 2677 Cristi Vlad
Drexel Cancer Care: Treating the Whole Patient
 
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At Drexel Medicine, we treat the whole patient, not just the cancer. Lydia Komarnicky, MD, chair of the Department of Radiation Oncology, discusses the variety of services we offer our patients -- from nutritional and financial counseling to massage & acupuncture. Our goal: offer patients as much support as we can. For more info, visit Drexel Cancer Care at: http://bit.ly/1xxv9f5
Просмотров: 90 Drexel Medicine
Aria Health-Bucks County Langhorne, PA
 
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Aria Health-Bucks County Langhorne, PA http://www.superpages.com/bp/Langhorne-PA/Aria-Health-L2138300988.htm Supermedia, Addictions Treatment , Adolescent Counseling , Adult Aftercare , Adult Counseling , Adult Day Care , Air Ambulances , Ambulance Services , Anesthesiology , Art & Play Therapy , Assessments , Audiology , Bilingual Staff , Birthing Centers , Blood Banks , Blood Testing , Cancer Centers , Cardiology , Child Counseling , Children's Health Centers , Children's Hospitals , City & County Government , Classes , Clinics , Community Education Programs , Convalescent Care , Crisis Hotlines , CT Scans , Deaf Services , Dental Care , Dermatology , Diabetes , Diabetic Care , Diagnostic Imaging , Diagnostic Testing , Dialysis , Disability Counseling , Drop-In & Emergency Care , Dual Diagnosis Programs , EEGs , EKGs , Emergency Care , Endocrinology , Endoscopy , Eye Ear Nose & Throat , Eye Movement Therapy , Family Counseling , Family Practice , Federal Government , Fitness Centers , Forensic Psychiatry , Gastroenterology , Group Therapy , Health Care Counseling , Hearing Testing , Hematology , Holistic Approaches , Home Health Services , Hospice Services , Hypnotherapy , In-House Laboratories , In-House Pharmacy , Individual Counseling , Intensive & Critical Care , Internal Medicine , Lab Testing , Mammograms , Medicare , Medication Management , Mental Health , Monitoring & Supervision , MRIs , Neonatology , Neurology , Nonprofit Organizations , Nutrition Counseling , Occupational Health , Oncology , Ophthalmology , Orthopedics , Osteoporosis Screening , Otolaryngology , Outpatient Services , Pain Management , Pastoral Care , Patient Representatives , Pediatric Care , Pediatrics , Physical Therapy , Physicals , Podiatry , Poison Control Centers , Prenatal & Maternity Care , Preventive Care , Private Facilities , Psychiatric Services , Psychiatry , Public Health , Radiology , Referrals , Rehabilitation Centers , Rehabilitation Programs , Religious Counseling , Religious Facilities , Respiratory Therapy , Rheumatology , Senior Services , Short-Term Counseling , Skilled Nursing Care , Sleep Disorders Clinics , Smoking Cessation Programs , Social Services , Speech Therapy , Sports Medicine , State Government , Sub-Acute Care , Support Groups , Surgery , Surgery Centers , Telemedicine , Transportation Services , Trauma Centers , Ultrasounds , University Hospitals , Urology , VA Hospitals , Vocational Training , Volunteer Programs , Walk-Ins Welcome , Wellness Programs , Women's Health , X-Rays
Просмотров: 2073 Dex Media Videos
Machine Learning with Scikit-Learn - The Cancer Dataset - 12 - Decision Trees 2
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2012%20-%20Decision%20Trees%202.ipynb Machine Learning group: https://www.facebook.com/groups/codingintelligence/ Support these educational videos: https://www.patreon.com/cristivlad In this machine learning video we learn how to tune the parameters of our Decision Tree classifier to improve its prediction accuracy on the cancer dataset. Specifically, we're modifying the max_depth of the tree and our purpose is to reduce/prevent overfitting. Recommended reading: Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/ Decision Tree Image Credits: By Stephen Milborrow (Own work) [CC BY-SA 3.0 via Wikimedia Commons] - [https://commons.wikimedia.org/wiki/File:CART_tree_titanic_survivors.png]
Просмотров: 2485 Cristi Vlad
Machine Learning with Scikit-Learn - The Cancer Dataset - 14 - Decision Trees 4
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2014%20-%20Decision%20Trees%204.ipynb In this machine learning video we look at how a parameter of Decision Trees called feature_importances_ shows us the weight each feature carries in the decision making process of our scikit-learn algorithm. We're working with the cancer dataset and we try to predict whether or not a tumor is malignant or benign. Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended reading: Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/ Decision Tree Image Credits: By Stephen Milborrow (Own work) [CC BY-SA 3.0 via Wikimedia Commons] - [https://commons.wikimedia.org/wiki/File:CART_tree_titanic_survivors.png]
Просмотров: 1713 Cristi Vlad
Machine Learning with Scikit-Learn - The Cancer Dataset - 17 - Random Forests 2
 
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In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%2017%20-%20Random%20Forests%202.ipynb In this machine learning tutorial we look at how the importance each feature of the tumor sample plays a role in deciding if the sample is predicted to be malignant or benign. Feature importance is a parameter of our Random Forest classifier that we built and trained in the previous video with scikit-learn. Machine Learning FB group: https://www.facebook.com/groups/codingintelligence Support these educational videos: https://www.patreon.com/cristivlad Recommended reading: Andreas Müller and Sarah Guido ML book: https://www.amazon.com/dp/1449369413/
Просмотров: 1503 Cristi Vlad