Outlier Treatment using Python

I am a novice in Data Science and in the problem which I am trying to solve, I am stuck up with the outlier detection and treatment. Some of the insights about the dataset below:

  • It's a regression problem
  • Having both numerical and categorical features
  • Numerical features include both discrete and continuous data columns
  • Categorical features include mostly nominal & Ordinal data columns
  • I've done the missing value imputation and categorical data transformation

I am stuck up since I don't know the way of outlier detection and treatment of numerical data. I request any of your valuable help in proceeding further.

Please let me know if you want any snapshot of the numerical data in order to give a solution.

I haven't added it since it's a generic doubt as I don't even know how and what to use for outlier detection and treatment.