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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit โ A faster way to build and share data apps.
Build and share delightful machine learning apps, all in Python. ๐ Star to support our work!
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
10 Weeks, 20 Lessons, Data Science for All!
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.
๐ธ๏ธ Web apps in pure Python ๐
Data Apps & Dashboards for Python. No JavaScript Required.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
๐ A ranked list of awesome machine learning Python libraries. Updated weekly.
matplotlib: plotting with Python
Prefect is a workflow orchestration framework for building resilient data pipelines in 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
Topic Modelling for Humans
๐ฆ Data Versioning and ML Experiments
An orchestration platform for the development, production, and observation of data assets.
Statistical data visualization in Python
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
OpenRefine is a free, open source power tool for working with messy data and improving it
Low-code framework for building custom LLMs, neural networks, and other AI models
Always know what to expect from your data.
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.