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Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Data Science Feature Engineering and Selection Tutorials
List of Computer Science courses with video lectures.
📝 An awesome Data Science repository to learn and apply for real world problems.
Collection of useful data science topics along with articles, videos, and code
10 Weeks, 20 Lessons, Data Science for All!
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 1…
A web-based demonstration of blockchain concepts.
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
NBA sports betting using machine learning
Practice your pandas skills!
Master programming by recreating your favorite technologies from scratch.
Course Materials for Analytics in Stock Markets Zoomcamp
A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing
🔥Highlighting the top ML papers every week.
Course Files for Complete Python 3 Bootcamp Course on Udemy
📊 Path to a free self-taught education in Data Science!
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
A machine learning course using Python, Jupyter Notebooks, and OpenML
“Welcome to my GitHub repository, a hub of exploration and innovation in the realm of data science. 📊💻 Here, you’ll find a curated collection of my data science projects, each a testament to the ar…
Awesome list for vjing/visuals-related resources
PyCon 2015 Pandas tutorial materials
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Curated list of project-based tutorials
📝 An awesome Data Science repository to learn and apply for real world problems.
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法