All course materials for the Zero to Mastery Machine Learning and Data Science course.
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
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 โ 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. ๐ 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
๐ซ Industrial-strength Natural Language Processing (NLP) in Python
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
:memo: An awesome Data Science repository to learn and apply for real world problems.
๐ธ๏ธ Web apps in pure Python ๐
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.
๐ A ranked list of awesome machine learning Python libraries. Updated weekly.
matplotlib: plotting with Python
A reactive notebook for Python โ 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! ๅผๆบ่ดข็ปๆฐๆฎๆฅๅฃๅบ
Best Practices on Recommendation Systems
Code for Machine Learning for Trading, 3rd edition โ from data sourcing to live execution.
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.
An orchestration platform for the development, production, and observation of data assets.
๐ฆ Data Versioning and ML Experiments
The Cloud Native AI Platform
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. ๐https://aka.ms/RD-Agent-Tech-Report
Python training for business analysts and traders
Statistical data visualization in Python
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
๐ฅHighlighting the top ML papers every week.
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.
Low-code framework for building custom LLMs, neural networks, and other AI models
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
Example ๐ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ๐ง 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 Source Metering and Usage Based Billing API โญ๏ธ Consumption tracking, Subscription management, Pricing iterations, Payment orchestration & Revenue analytics
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 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.
cuDF - GPU DataFrame Library
A python library for user-friendly forecasting and anomaly detection on time series.
XGo is a programming language that reads like plain English. But it's also incredibly powerful โ it lets you leverage assets from C/C++, Go, Python, and JavaScript/TypeScript, creating a unified software engineering ecosystem. Our vision is to enable everyone to become a builder of the world.
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
A collection of machine learning examples and tutorials.
๐ง Build, run, and manage data pipelines for integrating and transforming data.
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