1:20 Learning Agenda
2:51 Data Preprocessing and Feature Engineering
3:36 Understanding Data Types
8:30 Encoding Categorical Data
12:22 A step-by-step Hello World to Encoding Data
17:30 Label Encoder vs Ordinal Encoder
27:43 Conceptual understanding of One Hot Encoding
32:15 One Hot Encoding using Panda's get_dummies() method
36:20 One Hot Encoding using sklearn's OneHotEncoder Transformer
39:10 Complete Coding Example
51:30 Using ColumnTransformer for Encoding and Imputation
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Lecture Slides and Resources: http://arifbutt.me
Jupyter notebooks: https://github.com/arifpucit/data-sci...