Data Science
Showing 36 of 625 projects
Statsmodels: statistical modeling and econometrics in Python
A curated guide to learning machine learning with Python and Jupyter Notebook, featuring courses, notebooks, and practical resources.
A curated guide to learning machine learning with Python and Jupyter Notebook, featuring hands-on tutorials, courses, and ethical considerations.
A Python framework for creating reproducible, maintainable, and modular data engineering and data science pipelines.
An automated machine learning library that trains and deploys high-accuracy models for tabular, text, image, and time series data with minimal code.
A practical booklet covering the four main steps of designing machine learning systems with 27 interview questions.
A declarative statistical visualization library for Python built on Vega-Lite.
A drop-in replacement for pandas that scales data analysis workflows to use all CPU cores and handle out-of-memory datasets.
A community-driven collection of data science interview questions and answers covering theory, technical skills, and probability.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A standardized, flexible project template for data science work using Cookiecutter to structure reproducible projects.
A unified Python framework for machine learning with time series, offering scikit-learn compatible tools for forecasting, classification, clustering, and more.
A unified Python framework for machine learning with time series, offering scikit-learn compatible tools for forecasting, classification, clustering, and more.
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.
An open-source, low-code Python library that automates end-to-end machine learning workflows.
A GPU-accelerated DataFrame library for tabular data processing, part of the RAPIDS data science suite.
A modular deep learning library providing a higher-level API for TensorFlow to speed up experimentation.
A Python library for user-friendly forecasting and anomaly detection on time series, from ARIMA to deep neural networks.
A batteries-included machine learning library for Go with a scikit-learn inspired interface.
Automatically extracts and selects relevant features from time series data for machine learning tasks.
A curated list of practical financial machine learning tools, applications, and research repositories.
A high-performance Python DataFrame library for lazy out-of-core processing and visualization of billion-row datasets at interactive speeds.
A collection of ready-to-run Docker images containing Jupyter applications and interactive computing tools.
A collection of ready-to-run Docker images containing Jupyter applications and interactive computing tools.
A weekly social data project providing real-world datasets for practicing data tidying, visualization, and analysis.
A multi-user server that spawns, manages, and proxies multiple instances of single-user Jupyter notebook servers.
Code and Jupyter notebooks for the book 'Introduction to Machine Learning with Python' by Andreas Mueller and Sarah Guido.
A comprehensive cheat sheet with classical equations and diagrams for machine learning knowledge recall and interview preparation.
An open-source Python framework to evaluate, test, and monitor ML and LLM systems with 100+ built-in metrics.
An open-source Python library for automated feature engineering using Deep Feature Synthesis.
An open-source Python library for automated feature engineering using Deep Feature Synthesis.
A cross-platform, language-agnostic binary package and environment manager for creating isolated software environments.
An open-source, in-memory platform for distributed and scalable machine learning with support for a wide range of algorithms and big data technologies.
Python Data. Leaflet.js Maps.
A curated collection of tutorials and resources following the data scientist roadmap for learning essential data science skills.
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