In this tutorial we have the following main steps:

1.Exploratory data analysis EDA

First we need to see our target distribution

We will visualize the numerical variables distribution as well :

Then we see the correlation matrix :

2. Dealing with missing values

we used the following function :

4.Features Engineering and ordinal encoding

5.Dealing with skewness

we used the follwing function to deal with Skweness :

5.Standarization

we used the follwing function to Standerize our variables :

5.Modeling

The models that we used are : XGBOOST and LASSO Regression