Data Science
Showing 36 of 625 projects
Python implementations of popular machine learning algorithms from scratch with interactive Jupyter demos and mathematical explanations.
A Python framework for building analytical web applications and dashboards without writing JavaScript.
A Python library that enables conversational data analysis on SQL, CSV, and parquet files using LLMs and RAG.
A workflow orchestration framework for building resilient data pipelines in Python.
A comprehensive Python library for creating static, animated, and interactive visualizations and publication-quality figures.
A reactive Python notebook that's reproducible, git-friendly, and deployable as scripts or apps.
An elegant and simple Python library for fetching financial data from various sources, designed for quantitative research.
A free, self-taught curriculum following undergraduate Data Science guidelines using MOOCs from top universities.
A free, self-taught curriculum following undergraduate Data Science guidelines using MOOCs from top universities.
A repository of examples, utilities, and best practices for building and deploying production-ready recommendation systems.
An automatic forecasting procedure for time series data with multiple seasonality and linear or non-linear growth.
An open-source forecasting tool for time series data with multiple seasonality and linear or non-linear growth.
Comprehensive cheatsheets and refreshers covering all key concepts from Stanford's CS 229 Machine Learning course.
A curated list of resources dedicated to Natural Language Processing (NLP), including libraries, datasets, tutorials, and research.
A topic-wise curated list of machine learning and deep learning tutorials, articles, and resources for developers and data scientists.
A curated collection of tutorials, articles, and resources for learning machine learning and deep learning topics.
A community-maintained list of entry-level software engineering, product management, quant, and tech jobs for new graduates.
A curated index of the latest and best machine learning and AI courses available on YouTube, organized by topic.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
A Python library for topic modeling, document indexing, and similarity retrieval with large text corpora.
A Python library for topic modeling, document indexing, and similarity retrieval with large corpora.
An orchestration platform for developing, deploying, and monitoring data pipelines and assets.
🦉 Data Versioning and ML Experiments
A metapackage for installing and documenting the Jupyter ecosystem of interactive computing tools.
A metapackage for installing and documenting the Jupyter ecosystem of interactive computing tools.
An extensible, next-generation web-based interface for interactive computing and data science, based on the Jupyter Notebook architecture.
A Python distribution for the browser and Node.js based on WebAssembly, enabling Python to run in web environments.
A curated list of awesome big data frameworks, resources, and tools across various categories.
A curated list of awesome big data frameworks, resources, and tools across various categories.
A Python visualization library based on matplotlib for creating attractive statistical graphics with a high-level interface.
Generate comprehensive data quality profiles and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.
Generate comprehensive data quality profiling and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.
A comprehensive study plan and resource collection for preparing for machine learning engineering interviews at top tech companies.
A Python library that explains predictions of any machine learning classifier using local interpretable model-agnostic explanations.
A command-line MySQL client with auto-completion, syntax highlighting, and smart context-aware suggestions.
A Python library for data quality testing and validation using expressive, extensible Expectations.
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