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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

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By Guillaume Lemaitre

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