Implementation in python of different machine learning algorithms:
- Classification tree (ID3).
- Complete Index (data compression: variable-bytes, elias-gamma or elias-delta).
- Vectorial Index.
- Naive Bayes.
Some more data handling exercises in mongoDB, pySpark to analyse the feeling from different classics of literature, weather forecasting, parsing logs from a server and some more basic data wrangling exercises.