Cleaning & Preparing Data for Machine Learning — The Complete Pipeline | Master AI & ML, E8
Data scientists spend 80% of their time cleaning data — not building models. In this episode we walk through the complete data preparation pipeline: missing values, duplicates, outliers, encoding, normalization, train/test splitting, and data leakage — with a practical checklist you can use on any ML project. In this episode:…