scikit-learn: machine learning in Python
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Updated
Aug 19, 2024 - Python
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
scikit-learn: machine learning in Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Streamlit — A faster way to build and share data apps.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Statsmodels: statistical modeling and econometrics in Python
Open Machine Learning Course
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
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
A code-first agent framework for seamlessly planning and executing data analytics tasks.
⚡ A distributed crawler for weibo, building with celery and requests.
A Grammar of Graphics for Python
Missing data visualization module for Python.
Make your own running home page
a delightful machine learning tool that allows you to train, test, and use models without writing code