# Machine Learning Cheat Sheet — Data Processing Techniques

## Data Pre-processing

## Skewed Data

Outliers affect the distribution. If a value is significantly below the expected range, it will drag the distribution to the left, making the graph left-skewed or negative. Alternatively, if a value is significantly above the expected range, it will drag the distribution to the right, making the graph right-skewed or positive.

There are different ways to handle skewed data:

*Log Function + 1, Normalization*