Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
100 Days of ML Coding
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
A complete daily plan for studying to become a machine learning engineer.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
The "Python Machine Learning (1st edition)" book code repository and info resource
手写实现李航《统计学习方法》书中全部算法
Minimal and clean examples of machine learning algorithms implementations
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
A resource for learning about Machine learning & Deep Learning
💬 Machine Learning Course with Python:
Matlab code of machine learning algorithms in book PRML
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
This repository is a compilation of free resources for learning Data Science.
Plain python implementations of basic machine learning algorithms
cuML - RAPIDS Machine Learning Library
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
a delightful machine learning tool that allows you to train, test, and use models without writing code