Скачать или смотреть Numerical to Categorical Encoding and Handling Date/Time & Mixed Variables

How do you handle numerical to categorical encoding, date/time, and mixed variables in a dataset?

Convert numerical data into categorical using methods like binning or thresholding. For date/time, extract relevant features such as year, month, or day. Mixed variables can be handled by applying appropriate preprocessing steps for both numerical and categorical aspects.

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Timestamps:
00:00 Introduction to Reverse Encoding Techniques
14:15 Types of Encoding Techniques Used
16:00 Uniform Binning Mathematical Intuition
29:25 Uniform Binning Practical Implementation
38:53 Quantile Binning Mathematical Intuition
49:26 Quantile Binning Practical Implementation
54:31 Custom Binning Working
57:49 Custom Binning Practical Implementation
01:03:18 When to use which technique?
01:06:09 Handling Date Time Features
01:10:35 Handling Mixed Features
01:13:46 Practical Implementation of Both Date/ Time and Mixed Features
01:22:47 Some info regarding next videos
01:24:55 THE END

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