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
Suggest edit
Open issue

.md

Tabular data exploration

Tabular data exploration#

🎥 Tabular data exploration
📝 Exercise M1.01
📃 Solution for Exercise M1.01

previous

Module overview

next

🎥 Tabular data exploration

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!