This is my final project in Machine Learning Engineer Nanodegree.
I have chosen Santander Competition dataset from Kaggle. Link Here
The task is to predict the value of target column in the test set.
The dataset is composed of 200k observations and 200 features. You can download the dataset Here
The metric needed to evaluate model performance is the AUC (Area under de curve).