Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
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Best Practices on Recommendation Systems
Open Machine Learning Course
StellarGraph - Machine Learning on Graphs
Python-based implementations of algorithms for learning on imbalanced data.
A fast xgboost feature selection algorithm
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.