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