Sebastian Raschka, 2015
Python Machine Learning - Code Examples
- Dealing with missing data
- Eliminating samples or features with missing values
- Imputing missing values
- Understanding the scikit-learn estimator API
- Handling categorical data
- Mapping ordinal features
- Encoding class labels
- Performing one-hot encoding on nominal features
- Partitioning a dataset in training and test sets
- Bringing features onto the same scale
- Selecting meaningful features
- Sparse solutions with L1 regularization
- Sequential feature selection algorithms
- Assessing feature importance with random forests
- Summary