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Data Science
Websites and tools tagged “data science”.
This catalog curates data science courses, tutorials, books, and other learning resources.
The Open Source Data Science Masters site shares reflections and materials from a six-month data science study program.
Explore packages, frameworks, and software in Awesome R, a curated resource list for the R ecosystem.
Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
nbshare provides notebooks and learning materials for data analytics with Python and R.
This repository collects company papers and technical blogs about machine learning in production.
This repository curates data mining research papers focused on fraud detection.
The tidyverse is an integrated collection of R packages for data science.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
This repository provides a roadmap to becoming an artificial intelligence expert.
Evidently evaluates, tests, and monitors machine learning systems and data pipelines.
Hilary Parker’s personal site describes her work as a data scientist and her interest in data science and product.
PyOD provides Python tools for anomaly detection across tabular, time series, graph, text, image, and audio data.
This book explains how to build and manage a successful organization for data science work.
Apache Superset is an open-source platform for data visualization and exploration.
Microsoft Recommenders collects best practices for recommendation systems.
Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
A collaborative collection shares course and lecture notes on machine learning, natural language processing, and AI.
This Awesome DataScience repository collects learning material and resources about data science.
This repository collects 60 prompts for data science tasks with ChatGPT.
Feathr provides enterprises with a platform for data engineering and AI workflows.
SynapseML provides distributed machine learning algorithms for Spark through its Python library.
S2DS provides a data science bootcamp focused on business experience and career transition.






















