Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

Yet another black-box optimization library for Python

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

[tutorial]A functional, Data Science focused introduction to Python

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Curso de Data Science em Português

An open-source, low-code machine learning library in Python

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

Jupyter notebooks from the scikit-learn video series

My Answer to 120 Data Science Interview Questions

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

open source for wechat-official-account (ID: PyDataLab)

Data science portfolio

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

Interactive reports to analyze machine learning models during validation or production monitoring.

Code for Machine Learning for Algorithmic Trading, 2nd edition.