Book 3 — Data Engineering for ML¶
The unglamorous 80% of ML work.
Python Data Ecosystem¶
Data Formats & Sources¶
Cleaning¶
Feature Engineering¶
- Numerical features
- Categorical features
- Temporal features
- Text features
- Aggregations
- Feature selection
Status
Complete deep-dive coverage of the Python data ecosystem (NumPy, Pandas, Polars and visualization), storage formats and query engines, data cleaning and preprocessing, and feature engineering and selection.