Financial Inclusion in Africa
Knowledge
Predict who is most likely to have a bank account
1729 data scientists enrolled, 788 on the leaderboard
Financial ServicesPredictionStructured
29 July 2019
Start
published 25 Aug 2019, 21:22

Hi, can someone guide me on how to start and what can I use to learn on the go?

There is a lot going on here, first you need to learn what is classification and some classification algorithm (I presume that you know some python or R programming language), then learn how to do some basics data preprocessing, and combine this two concepts (in inverse order) to get a result, finally to evaluate your result you should use an evaluation metrics, the one used in this competition is the Error rate which is = (1 - accuracy).

Thank you. I know these very conceptually but I never put them in practice, this is my first experience so any guidance through a website or anything would be great!

i would suggest the micro courses of kaggle ,which might be a good start for you if you are an absolute beginner

link : https://www.kaggle.com/learn/overview

If you want to scratch the surface of basic ML with no great intuition on the algorithms instructions , I would suggest auditing at least the first three chapters in udacity's intro to ML ...

You can do steps like in this link: https://www.kaggle.com/niklasdonges/end-to-end-project-with-python

I think this faster way !