DSN AI Bootcamp Qualification Hackathon by Data Science Nigeria
Knowledge
Predict customers who will default on a loan
888 data scientists enrolled, 522 on the leaderboard
Financial ServicesPredictionStructured
Nigeria
9 September—3 October
Ends in 8 days
Beginner
published 13 Sep 2020, 13:03

Hello

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.

I.e model.fit(X_train,y_train)

Then predict the proba of the model on your validation set

model.predict_proba(X_val)

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