Skip to main content

Ctrl+K

Introduction

Setting the stage

🎥 Setting the stage

Machine Learning Concepts

🎥 Introducing machine-learning concepts
✅ Quiz Intro.01

The predictive modeling pipeline

Module overview
Tabular data exploration
Fitting a scikit-learn model on numerical data
Data preprocessing
Wrap-up
- Main take-away

Selecting the best model

Module overview
Overfitting and underfitting
Validation and learning curves
Bias versus variance trade-off
- 🎥 Bias versus Variance
- ✅ Quiz M2.03
🏁 Wrap-up quiz 2
Main take-away

Hyperparameter tuning

Module overview
Manual tuning
- Set and get hyperparameters in scikit-learn
- ✅ Quiz M3.01
Automated tuning
🏁 Wrap-up quiz 3
Main take-away

Final exercise

📝 Exercise: Try out learned skills on Ames Housing dataset

Concluding remarks

Concluding remarks

Appendix

Glossary
Datasets description
Acknowledgement
Notebook timings
Table of contents

Repository
Open issue

Search

Ctrl+K

By scikit-learn developers

© Copyright 2022-2024.

Join the full MOOC experience Get officially certified!

Brought to you under a CC-BY License by Inria Learning Lab, scikit-learn @ La Fondation Inria, Inria Academy, probabl, with many thanks to the scikit-learn community as a whole!