In Machine Learning and Data Mining

- How to speed up computation for our model?

There are two approaches:

- reducing the number of rows
- reducing the number of columns

The main approach is to randomly select a subset of the dataset

Main approach: remove dependent variables

- Correlation coefficient for two Quantitative Variables
- Chi-square Test of Independence for two Categorical Variables
- One-Way ANOVA F-Test for quantitative vs categorical case

Other techniques: