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Introduction to machine learning

Evaluation 101

Evaluating a predictive model

Linear models

Losses
Data preprocessing
Regularization
Beyond linear separations

Tree-based models

Decision trees
Bagged trees
Boosted trees

Hyperparameter tuning

Hyperparameters tuning

Predicting with uncertainty

Quantile regression
Gaussian process

Data challenge problem

The bike rides dataset

Repository
Open issue

Index

By Guillaume Lemaitre

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