Repository Index

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

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

Python Data Science Handbook: full text in Jupyter Notebooks

• scikit-learn
• numpy
• python
• jupyter-notebook

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

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

10 Weeks, 20 Lessons, Data Science for All!

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

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

• bayesian-methods
• pymc
• mathematical-analysis
• jupyter-notebook

The fastai book, published as Jupyter Notebooks

• notebooks
• fastai
• deep-learning
• machine-learning

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

• machine-learning
• trading
• investment
• finance

💿 Free software that works great, and also happens to be open-source Python.

• python
• application
• video
• audio

Your new Mentor for Data Science E-Learning.

• tensorflow
• machine-learning
• machine-vision
• datascience

Python training for business analysts and traders

• python
• jupyter
• jupyterlab
• binder

The "Python Machine Learning (1st edition)" book code repository and info resource

• machine-learning
• machine-learning-algorithms
• logistic-regression
• data-science

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

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

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

• sagemaker
• aws
• reinforcement-learning
• machine-learning

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

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

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

• machine-learning
• python
• data-science
• automl

Automatic extraction of relevant features from time series:

• data-science
• feature-extraction
• time-series

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

• data-drift
• jupyter-notebook
• pandas-dataframe
• machine-learning

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

• h2o
• machine-learning
• data-science
• deep-learning

Toturials coming with the "data science roadmap" picture.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

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

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

• ai
• deep-learning
• deeplearning
• machine-learning

Quantitative analysis, strategies and backtests

• quantitative-finance
• quantitative-trading
• portfolio-management
• risk-management

A library for debugging/inspecting machine learning classifiers and explaining their predictions

• scikit-learn
• machine-learning
• xgboost
• lightgbm

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

• data-science
• python
• dag
• data-engineering