AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Best Practices on Recommendation Systems

深度学习在推荐系统中的应用及论文小结。

Support content for my blog

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

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

Collection of useful data science topics along with code and articles

Create HTML profiling reports from pandas DataFrame objects

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Best Practices, code samples, and documentation for Computer Vision.

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Curso de Data Science em Português

Cryptocurrency Price Prediction Using LSTM neural network

Efficient Learning of Augmentation Policy Schedules

The Go kernel for Jupyter notebooks and nteract.

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.