Stars
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Neural Networks from Scratch in various programming languages
Download market data from Yahoo! Finance's API
Tutorial material on the scientific Python ecosystem
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
A list of command-line tools for manipulating structured text data
Matplotlib tutorial for beginner
🎨 Diagram as Code for prototyping cloud system architectures
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Quantitative research and educational materials
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning al…
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A minimal benchmark of various tools (statistical software, databases etc.) for working with tabular data of moderately large sizes (interactive data analysis).
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
Data Science at the Command Line
Master the command line, in one page