This kaggle-in-class is a simpler replica of [this](https://www.kaggle.com/c/home-credit-default-risk) other competition. It only uses one of the sources of data, the one present on the 'application' csv file. The data contains a bunch of information from conceded loans. The target 'default' is a binary variable that takes value 1 if the person was not able to repay the loan and 0 otherwise. For more detailed information, you can check their website.

This particular competition will be evaluated computing the [accuracy score](https://developers.google.com/machine-learning/crash-course/classification/accuracy) 

The objective of this competition is to get familiar with kaggle competitions, the end-to-end flow of machine learning projects and apply the content we see in class while we see its impact on a real dataset.

Up until now we've already seen the basics of supervised learning and classification problems, so you should be ready to already apply those.

Have fun!