.md .pdf

Contents

Intro

This is the intro

Tabular data exploration

• Loading data into machine learning

Fitting a scikit-learn model on numerical data

• First model with scikit-learn
• Exercise 01
• Solution for Exercise 01

Fitting a scikit-learn model on numerical data

• Working with both numerical & categorical variables
• Fitting a more powerful model
• Exercise 02
• Solution for Exercise 02
• Exercise 03
• Solution for Exercise 03

Parameter tuning

• Introduction to scikit-learn: basic model hyper-parameters tuning
• Exercise 01
• Exercise 01
• Exercise 02
• Exercise 02

Linear models

• Linear Models
• Main take away

Decision Trees

• Decision tree in depth

Ensemble models

• Ensemble learning: when many are better that the one

Metrics

• Evaluation of your predictive model

Interpretation

• Feature importance
• Take Away

Loading data into machine learning