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


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


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