academic /
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
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30DaysOf / repository
Learn Data Science By Doing Hands-on Projects, one-a-day, with Jupyter Notebooks, VS Code, GitHub Codespaces, GitHub Copilot - and AI!
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This score does not audit code, security, maintainers, documentation quality, or suitability. Verify the repository and its current documentation before adoption.
| Welcome to #14DaysOf Data Science, a 2-week series of posts that will help you make the Leap into Data Science from fundamental concepts to developer tooling. |
The GitHub website is built using Astro Starlight and hosted on GitHub Pages using an automated GitHub Action workflow. Check out docs/README.md for more details.
The repository is instrumented with a devcontainer.json file setup to support Node.js and Python development runtimes.
To preview the documentation, just open the repo in GitHub Codespaces, wait till you see the Visual Studio Code terminal prompt, then enter:
cd docs
npm install
npm run dev
Selected from shared topics, language and repository description—not editorial ratings.
academic /
:memo: An awesome Data Science repository to learn and apply for real world problems.
95/100 healthdonnemartin /
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
85/100 healthtangyudi /
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
83/100 healthfirmai /
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
84/100 healthdformoso /
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
91/100 healthkrishnaik06 /
No description provided.
84/100 health