Support Vector Machines in Python from Start to Finish.

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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)...  
The Radial Basis Function:    • Support Vector Machines Part 3: The R...  
Regularization:    • Regularization Part 1: Ridge (L2) Reg...  
Cross Validation:    • Machine Learning Fundamentals: Cross ...  
Confusion Matrices:    • Machine Learning Fundamentals: The Co...  

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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