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Missing Data Part 1: Identifying
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Classroom Contents
Support Vector Machines in Python from Start to Finish
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- 1 This webinar was recorded 20200609 at am New York Time
- 2 Awesome song and introduction
- 3 Import Modules
- 4 Import Data
- 5 Missing Data Part 1: Identifying
- 6 Missing Data Part 2: Dealing with it
- 7 Downsampling the data
- 8 Format Data Part 1: X and y
- 9 Format Data Part 2: One-Hot Encoding
- 10 Format Data Part 3: Centering and Scaling
- 11 Build a Preliminary SVM
- 12 Optimize Parameters with Cross Validation GridSearchCV
- 13 Build and Draw Final SVM
