I am quite new to this
Can someone help me with a step-to-step guide to the solution
How do I train the model?
How do I test?
then the rest
..Use sklearn train_test_split
To split into train and validation set
The fit your model into the data set.
Then predict the proba of the model on your validation set
This can be used to check your Roc Score to see how your model is performing then lastly for submission use this
Predt = model.predict_proba(test[X.columns])[:,1]
ke a submission
I will also recommend you read the companion book, Introduction to Machine Learning (O'Reilly), for better understanding