data-science

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

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

Apache Superset is a Data Visualization and Data Exploration Platform

scikit-learn: machine learning in Python

Deep Learning for humans

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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

Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Streamlit — A faster way to build and share data apps.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

10 Weeks, 20 Lessons, Data Science for All!

500 AI Machine learning Deep learning Computer vision NLP Projects with code

💫 Industrial-strength Natural Language Processing (NLP) in Python

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Roadmap to becoming an Artificial Intelligence Expert in 2022

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

:memo: An awesome Data Science repository to learn and apply for real world problems.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

🕸️ Web apps in pure Python 🐍

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 ;)

The fastai book, published as Jupyter Notebooks

Data Apps & Dashboards for Python. No JavaScript Required.

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

matplotlib: plotting with Python

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Best Practices on Recommendation Systems

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

VIP cheatsheets for Stanford's CS 229 Machine Learning

📺 Discover the latest machine learning / AI courses on YouTube.

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Topic Modelling for Humans

An orchestration platform for the development, production, and observation of data assets.

🦉 Data Versioning and ML Experiments

The Cloud Native AI Platform

Your new Mentor for Data Science E-Learning.

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

A curated list of awesome big data frameworks, ressources and other awesomeness.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Python training for business analysts and traders

A curated list of references for MLOps

Statistical data visualization in Python

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，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等热门领域

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

🔥Highlighting the top ML papers every week.

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

OpenRefine is a free, open source power tool for working with messy data and improving it

Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes

Always know what to expect from your data.

An open-source NLP research library, built on PyTorch.

Low-code framework for building custom LLMs, neural networks, and other AI models

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Statsmodels: statistical modeling and econometrics in Python

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Refine high-quality datasets and visual AI models

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

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

PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

Fast and Accurate ML in 3 Lines of Code

Open Machine Learning Course

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`

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

Modin: Scale your Pandas workflows by changing a single line of code

Data science interview questions and answers

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

A unified framework for machine learning with time series

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

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.