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Support Vector Machines in Python from Start to Finish.

Duration: 44:49Views: 69.9KLikes: 2.3KDate Created: Jun, 2020

Channel: StatQuest with Josh Starmer

Category: Education

Tags: josh starmerdata sciencemachine learningstatqueststatistics

Description: NOTE: You can support StatQuest by purchasing the Jupyter Notebook and Python code seen in this video here: 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: youtu.be/efR1C6CvhmE The Radial Basis Function: youtu.be/Qc5IyLW_hns Regularization: youtu.be/Q81RR3yKn30 Cross Validation: youtu.be/fSytzGwwBVw Confusion Matrices: youtu.be/Kdsp6soqA7o For a complete index of all the StatQuest videos, check out: statquest.org/video-index If you'd like to support StatQuest, please consider... Buying my book, The StatQuest Illustrated Guide to Machine Learning: PDF - statquest.gumroad.com/l/wvtmc Paperback - amazon.com/dp/B09ZCKR4H6 Kindle eBook - amazon.com/dp/B09ZG79HXC Patreon: patreon.com/statquest ...or... YouTube Membership: youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...a cool StatQuest t-shirt or sweatshirt: shop.spreadshirt.com/statquest-with-josh-starmer ...buying one or two of my songs (or go large and get a whole album!) joshuastarmer.bandcamp.com ...or just donating to StatQuest! paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: twitter.com/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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