2020
I Introduction
II Foundation
1 Data Preparation in a Machine Learning Project
2 Why Data Preparation is So Important
3 Tour of Data Preparation Techniques
4 Data Preparation Without Data Leakage
III Data Cleaning
5 Basic Data Cleaning
6 Outlier Identication and Removal
7 How to Mark and Remove Missing Data
I Introduction
p .13 Welcome
1 Data Preparation in a Machine Learning Project
2 Why Data Preparation is So Important
3 Tour of Data Preparation Techniques
4 Data Preparation Without Data Leakage
5 Basic Data Cleaning
6 Outlier Identi cation and Removal
7 How to Mark and Remove Missing Data
