numer.ai tournament challenge submission.

Numerai is almost like Kaggle but with clean and tidy dataset; Numerai is a global artificial intelligence tournament to predict the stock market. You download the data, build a model, and upload your predictions. It’s rather hard to find a contest where you could just apply whatever methods you fancy, without much data cleaning and feature engineering. In this tournament, you can do exactly that.

datasets folder contains the training sets and test sets

scripts folder contains the two different classifiers explored in making predictions to these datasets

numerai.csv is the predictions made from the datasets in a CSV format with two columns: t_id and probability. The probability column is the probability estimated by the model of the observation being of class 1.

I built a model for the datasets using two different classifiers from scikit-learn. Read the blog post here