Repository Index

freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.

• learn-to-code
• nonprofits
• programming
• nodejs

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

• ml
• data-science
• machine-learning
• machine-learning-algorithms

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

• 30-days-of-python
• python
• flask
• github

Learn how to develop, deploy and iterate on production-grade ML applications.

• machine-learning
• deep-learning
• pytorch
• natural-language-processing

TranslatedGuidance for courses in Department of Computer Science and Technology, Tsinghua University

• course
• course-project
• course-assignment
• tsinghua-university

10 Weeks, 20 Lessons, Data Science for All!

• data-science
• python
• data-visualization
• data-analysis

Python training for business analysts and traders

• python
• jupyter
• jupyterlab
• binder

TranslatedAI learning roadmap, compiling nearly 200 hands-on cases and projects, with free accompanying teaching materials, for beginners with zero background, focused on job-ready practice! Covers: Python, mathematics, machine learning, data analysis, deep learning, computer vision, natural language processing, PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv and other popular fields

• machine-learning
• deep-learning
• data-analysis
• data-mining

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

• numpy
• python
• linear-algebra
• data-science

TranslatedCrash Course Computer Science (5,090,000 views) (40 episodes in total, each 10 minutes) Translation completed in 2018. The comment section has a lot of praise

• cs
• computer-science
• crash-course

Open Machine Learning Course

• machine-learning
• data-analysis
• data-science
• pandas

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

• deep-learning
• mit
• self-driving-cars
• deep-reinforcement-learning

"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.

A collection of machine learning examples and tutorials.

• deep-learning
• machine-learning
• reinforcement-learning
• python

All course materials for the Zero to Mastery Machine Learning and Data Science course.

• machine-learning
• data-science
• deep-learning

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

• machine-learning
• data-science
• python
• mathematics

The 3rd edition of course.fast.ai

• data-science
• fastai
• deep-learning
• pytorch

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

Lectures on scientific computing with python, as IPython notebooks.

A Code-First Introduction to NLP course

• nlp
• machine-learning
• data-science
• python

Learn how to design, develop, deploy and iterate on production-grade ML applications.

• machine-learning
• deep-learning
• pytorch
• mlops

Tutorial material on the scientific Python ecosystem

Readings in applied data science

• teaching
• data-science

Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning

• cli
• deep-learning
• education
• from-scratch