Intro to machine learning

Intro to machine learning collects notebooks from a machine-learning course, focused on preparing data before training. Each Jupyter notebooks notebook covers one preprocessing technique in Python:

• filling in missing values (imputation);
• one-hot encoding and label encoding of categories;
• normalisation and standardisation of numbers;
• discretisation, turning numbers into bins.

See also

• Machine learning and data
• Text-preprocessing pipeline