Statistics for topic data-science
RepositoryStats tracks 566,957 Github repositories, of these 2,065 are tagged with the data-science topic. The most common primary language for repositories using this topic is Python (730). Other languages include: Jupyter Notebook (595), R (72), HTML (66), JavaScript (50), TypeScript (46), Go (37), C++ (34), Java (22), Rust (20)
Stargazers over time for topic data-science
Most starred repositories for topic data-science (view more)
Trending repositories for topic data-science (view more)
The open-source tool for building high-quality datasets and computer vision models
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe...
🔥 LitLytics - an affordable, simple analytics platform that leverages LLMs to automate data analysis
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe...
This is a repository to demonstrate my details, skills, projects and to keep track of my progression in Data Analytics and Data Science topics.
2025 AI/ML internship & new graduate job list updated daily
The open-source tool for building high-quality datasets and computer vision models
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe...
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe...
Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets
2025 AI/ML internship & new graduate job list updated daily
Zero-True: A collaborative notebook built for data scientists
📺 Discover the latest machine learning / AI courses on YouTube.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe...
The open-source tool for building high-quality datasets and computer vision models
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
AI-Driven Research Assistant: An advanced multi-agent system for automating complex research processes. Leveraging LangChain, OpenAI GPT, and LangGraph, this tool streamlines hypothesis generation, da...
2025 AI/ML internship & new graduate job list updated daily
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe...
Explore a collection of end-to-end data analytics projects showcasing SQL, Python, and Power BI. Gain valuable insights and solutions to real-world problems through data extraction, analysis, and visu...
AI-powered Jupyter Notebook — use local AI to generate and edit code cells, automatically fix errors, and chat with your data
Python-based Low-code ETL for data manipulation and transformation. Generates Python code you can deploy anywhere.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Apache Superset is a Data Visualization and Data Exploration Platform
Streamlit — A faster way to build and share data apps.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
Chat with your data, modify it, visualize it, create and test machine learning models all in plain English. DataHorse makes data analysis and data science conversational using LLMs.