Feature-selection-MACHINE_LEARNING

In this I have performed univariate feature selection using chi-square test from a dataset of smartphone sales with there specfication. After chi square test extracted the importance of a particular feature with respect to other using random forest classifier and found the following result.

Results showing that following are the top three features responsible for high sale of a smartphone-

  • Ram
  • Battery
  • Screen resolution(pixel height and width)

After with the help of this correlated data I genrated correlation matrix and after plotting it in heatmap following visualisation achieved