numerai-experiments

Numerai Experiments

After following an introductory course of Machine Learning on Coursera and working with data scientists on commercial projects I wanted to apply Machine Learning to something practical myself.

I chose to apply it to Numerai. It’s a hedge fund where trades are determined based on predictions crowdsourced from data scientists given anonymized data.

2018

I created a 7 part series documenting my journey through the experiments:

• Part 1 - Basics
• Part 2 - First models: Random Forests, Support Vector Machine, Logistic Regression, Gradient Boosting, Deep Neural Network
• Part 3 - Automatic ML: auto-sklearn & Auto-WEKA
• Part 4 - Jim Fleming’s models
• Part 5 - Automating with Luigi
• Part 6 - Evaluating predictions
• Part 7 - Concordant, original, 100% consistent

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