- Data Cleaning
- Data Imbalance solving (Classification)
- Data Smoothing (decreasing noise)
- Creating-deleting features from original data
- Data Transformation (Box-cox,Log Transform)
- Making Dataset stationery (time series)
- And other specific data preprocessing methods in NLP-Computer Vision (very specific ones)
I am trying to research data preparation methods and so far those are the things i could find. Do you think is anything missing? Thanks.