How do we deal with logistic regression through Preprocessing?

TIMESTAMPS

• 0:00 Introduction
• 1:34 Snape – Artificial Data Generator
• 2:56 Effects of Standardization
• 5:32 Effects of Encoding
• 8:45 Effects of Data Imbalance
• 10:50 Effects of Correlation
• 11:40 Variance Inflation Factor Explained
• 13:30 Dealing with Multicollinearity
• 16:53 Effects of Missing Data
• 18:09 Summary

CODE: https://github.com/ajhalthor/preprocessing-cheat-sheet

#machine-learning #big-data