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
