Showing 21-40 of 54 projects
A Python library that makes it easy for data scientists to create charts and visualizations.
An easy-to-use blogging platform with enhanced support for Jupyter Notebooks, ideal for data scientists and AI developers.
Koalas is a pandas-like API for Apache Spark, enabling data scientists to work with big data using familiar pandas syntax.
This is a code repository for a book on practical statistics for data scientists, not a developer discovery platform.
A comprehensive machine learning glossary and cheatsheet for data scientists and AI developers.
Linear Algebra with Python lecture notes for data scientists and quantitative analysts
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
A Python library to help data scientists infer causation from data rather than just observing correlation.
A repository for collecting study materials and resources related to data analysis and related fields.
Hamilton is an open-source ETL framework that helps data scientists and engineers build modular, testable dataflows with lineage and metadata.
An AI-driven data application platform that redefines business intelligence with LLMs and AI-native tools.
Compilation of resources for aspiring data scientists, including career and internship information.
An efficient and compressed N-dimensional array library for Python, useful for data scientists and ML engineers.
A 6-month data science roadmap for developers who want to become data scientists.
A collection of illustrated R and statistics resources for developers and data scientists
A newsletter focused on quantitative and algorithmic trading, portfolio analysis, and investing.
A .NET library for carefully refactoring critical paths, ported from GitHub's Ruby Scientist library.
A collection of efficient Python tricks and tools for data scientists to improve their productivity.
An open-source tool for scaling, assessing, and maintaining natural language data for AI/ML models.
A curated list of 100+ resources for building and deploying generative AI, focused on helping you become a Generative AI Data Scientist.
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