π₯ Introducing machine-learning concepts
- First model with scikit-learn
- π Exercise M1.02
- π Solution for Exercise M1.02
- Working with numerical data
- π Exercise M1.03
- π Solution for Exercise M1.03
- Preprocessing for numerical features
- π₯ Validation of a model
- Model evaluation using cross-validation
- β Quiz M1.02
- Encoding of categorical variables
- π Exercise M1.04
- π Solution for Exercise M1.04
- Using numerical and categorical variables together
- π Exercise M1.05
- π Solution for Exercise M1.05
- π₯ Visualizing scikit-learn pipelines in Jupyter
- β Quiz M1.03
- π₯ Comparing train and test errors
- Overfit-generalization-underfit
- Effect of the sample size in cross-validation
- π Exercise M2.01
- π Solution for Exercise M2.01
- β Quiz M2.02
- Set and get hyperparameters in scikit-learn
- π Exercise M3.01
- π Solution for Exercise M3.01
- β Quiz M3.01
- Hyperparameter tuning by grid-search
- Hyperparameter tuning by randomized-search
- π₯ Analysis of hyperparameter search results
- Analysis of hyperparameter search results
- Evaluation and hyperparameter tuning
- π Exercise M3.02
- π Solution for Exercise M3.02
- β Quiz M3.02
- Linear regression without scikit-learn
- π Exercise M4.01
- π Solution for Exercise M4.01
- Linear regression using scikit-learn
- β Quiz M4.02
- π Exercise M4.02
- π Solution for Exercise M4.02
- Linear regression for a non-linear features-target relationship
- π Exercise M4.03
- π Solution for Exercise M4.03
- β Quiz M4.03
- π₯ Intuitions on regularized linear models
- Regularization of linear regression model
- π Exercise M4.04
- π Solution for Exercise M4.04
- β Quiz M4.04
- Linear model for classification
- π Exercise M4.05
- π Solution for Exercise M4.05
- Beyond linear separation in classification
- β Quiz M4.05
- Build a classification decision tree
- π Exercise M5.01
- π Solution for Exercise M5.01
- β Quiz M5.02
- π₯ Intuitions on ensemble models: bagging
- Introductory example to ensemble models
- Bagging
- π Exercise M6.01
- π Solution for Exercise M6.01
- Random forests
- π Exercise M6.02
- π Solution for Exercise M6.02
- β Quiz M6.01
- π₯ Intuitions on ensemble models: boosting
- Adaptive Boosting (AdaBoost)
- Gradient-boosting decision tree (GBDT)
- π Exercise M6.03
- π Solution for Exercise M6.03
- Speeding-up gradient-boosting
- β Quiz M6.02