Support Vector Machines in Python from Start to Finish.
NOTE: You can support StatQuest by purchasing the Jupyter Notebook and Python code seen in this video here: http://statquest.gumroad.com/l/iulnea This webinar was recorded 20200609 at 11:00am (New York Time) NOTE: This StatQuest assumes that you are already familiar with: Support Vector Machines: • Support Vector Machines Part 1 (of 3): Mai... The Radial Basis Function: • Support Vector Machines Part 3: The Radial... Regularization: • Regularization Part 1: Ridge (L2) Regression Cross Validation: • Machine Learning Fundamentals: Cross Valid... Confusion Matrices: • Machine Learning Fundamentals: The Confusi... For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider... Patreon: / statquest ...or... YouTube Membership: / @statquest ...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... https://statquest.org/statquest-store/ ...or just donating to StatQuest! https://www.paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: / joshuastarmer 0:00 Awesome song and introduction 4:16 Import Modules 6:36 Import Data 11:27 Missing Data Part 1: Identifying 16:57 Missing Data Part 2: Dealing with it 21:04 Downsampling the data 24:35 Format Data Part 1: X and y 26:35 Format Data Part 2: One-Hot Encoding 31:25 Format Data Part 3: Centering and Scaling 32:45 Build a Preliminary SVM 34:55 Optimize Parameters with Cross Validation (GridSearchCV) 37:58 Build and Draw Final SVM #StatQuest #ML #SVM
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