Special Topics in Data Mining
- Data Science projects life cycle and tools
EDA
Explore individual features, pairs and groups, clean up, missing values, leakages, feature evaluation
Necessary python libraries: Pandas, NumPy, Numba / Dask
Visualization
Modeling (I assume you know the basics)
Feature preprocessing and generation, Model selection, Model evaluation, Recommender systems
Special Topics
Modern Approaches in NLP
Transfer Learning (in NLP or Vision)
Spatial Data Science
Auto-ML
Time-series
Active Learning