Anonymous Data

The data is unknown and the columns are not clear, but it contains the target column, which is referred to as “Y”, through which you can track the binary classification process on this data.
Also, the data may contain missing values, and you have the choice to get rid of the outliers or leave them as they are.
You can practice machine learning algorithms or deep learning.

Deal with the data as you see fit The important thing here is to compete for the highest accuracy for the model you are building, but you should avoid overfitting.

Good luck with the data.