Exploratory Data Analysis templates Helps you understand the data you are working with before modeling Data overview Sample rows Missing values Unique values Statistical overview Distributions Relationships Model training Naive vs full models Model evaluation In-sample vs out-sample Model interpretation Shap, see Explaining "Blackbox" ML Models - Practical Application of SHAP Templates Regression template Classification template Additional resources Project template for highly effective data science workflows Python library for building highly effective data science workflows 4 Reasons Why Your Machine Learning Code is Probably Bad Guide to managing data science projects from start to finish