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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
| Date | Stars |
|---|---|
| 2026-07-31 | 588 |
| 2026-08-02 | 588 |
| 2026-08-06 | 588 |
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A repository for the code, files, and other assets used in LearnDataSci articles. Links to posts on LearnDataSci and their repos (sorted by recency): + [Beginner's Guide to Using Databases with Python: Postgres, SQLAlchemy, and Alembic](https://learndatasci.com/tutorials/using-databases-python-postgres-sqlalchemy-and-alembic/) [[<b>repo</b>](../../tree/master/Guide%20to%20Using%20Databases%20with%20Python%20Postgres%2C%20SQLAlchemy%2C%20and%20Alembic/project)] + [How to Stream Text Data from Twitch with Sockets in Python](https://learndatasci.com/tutorials/how-stream-text-data-twitch-sockets-python/) [[<b>repo</b>](../../tree/master/How%20to%20Stream%20Text%20Data%20from%20Twitch%20with%20Sockets%20in%20Python)] + [Python Pandas Tutorial: A Complete Introduction for Beginners](https://www.learndatasci.com/tutorials/python-pandas-tutorial-complete-introduction-for-beginners/) [[<b>repo</b>](../../tree/master/Python%20Pandas%20Tutorial%20A%20Complete%20Introduction%20for%20Beginners)] + [From Good to Great Data Science, Part 1: Correlations and Confidence](https://www.learndatasci.com/tutorials/good-great-data-science-correlations-and-confidence/) [[<b>repo</b>](../../tree/master/From%20Good%20to%20Great%20Data%20Science%2C%20Part%201%20Correlations%20and%20Confidence)] + [Ultimate Guide to Web Scraping with Python Part 1: Requests and BeautifulSoup](https://www.learndatasci.com/tutorials/ultimate-guide-web-scraping-w-python-requests-and-beautifulsoup/) [[<b>repo</b>](../../tree/master/Ultimate%20Guide%20to%20Web%20Scraping/Part%201%20-%20Requests%20and%20BeautifulSoup)] + [Building a Recommendation Engine with Locality-Sensitive Hashing (LSH) in Python](https://www.learndatasci.com/tutorials/building-recommendation-engine-locality-sensitive-hashing-lsh-python/) [[<b>repo</b>](../../tree/master/LSH%20Recommendation%20Engine)] + [Reinforcement Q-Learning from Scratch in Python with OpenAI Gym](https://www.learndatasci.com/tutorials/reinforcement-q-learning-scratch-python-openai-gym/) [[<b>repo</b>](../../tree/master/Intro%20to%20Reinforcement%20Q-Learning)] + [Predicting Reddit News Sentiment with Naive Bayes and Other Text Classifiers](https://www.learndatasci.com/tutorials/predicting-reddit-news-sentiment-naive-bayes-text-classifiers/) [[<b>repo</b>](../../tree/master/Predicting%20Reddit%20News%20Sentiment)] + [Python for Finance, Part III: A Moving Average Trading Strategy](https://www.learndatasci.com/python-finance-part-3-moving-average-trading-strategy/) [[<b>repo</b>](../../tree/master/Python%20for%20Finance%2C%20Part%203)] + [Python for Finance, Part II: Intro to Quantitative Trading Strategies](https://www.learndatasci.com/python-finance-part-2-intro-quantitative-trading-strategies/) [[<b>repo</b>](../../tree/master/Python%20for%20Finance%2C%20Part%202)] + [Python for Finance, Part I: Yahoo Finance API, pandas, and matplotlib](https://www.learndatasci.com/python-finance-part-yahoo-finance-api-pandas-matplotlib/) [[<b>repo</b>](../../tree/master/Python%20For%20Finance%2C%20Part%20I)] + [Sentiment Analysis on Reddit News Headlines with Python’s Natural Language Toolkit (NLTK)](https://www.learndatasci.com/sentiment-analysis-reddit-headlines-pythons-nltk/) [[<b>repo</b>](../../tree/master/Sentiment%20Analysis%20on%20Reddit%20Headlines%20with%20NLTK)] + [Essential Statistics for Data Science: A Case Study using Python, Part I](https://www.learndatasci.com/data-science-statistics-using-python/) [[<b>repo</b>](../../tree/master/Essential%20Statistics)] + [K-Means & Other Clustering Algorithms: A Quick Intro with Python](https://www.learndatasci.com/k-means-clustering-algorithms-python-intro/) [[<b>repo</b>](../../tree/master/K-Means%20Clustering)] + [Predicting Housing Prices with Linear Regression using Python, pandas, and statsmodels](https://www.learndatasci.com/predicting-housing-prices-linear-regression-using-python-pandas-statsmodels/) [[<b>repo</b>](../../tree/master/Housing%20Price%20Index%20Regression)]
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:66b7aa9bf90d4d5a, llm:Repository description and topics: 'data-analysis, data-science, data-visualization, machine-learning, machine-learning-algorithms, machinelearning, python' and readme: 'code, files, and other assets used in LearnDataSci articles' (tutorial notebooks covering pandas, web scraping, LSH recommendation, reinforcement Q-learning, etc.).
matched fp:66b7aa9bf90d4d5a, llm:Repository description and topics: 'data-analysis, data-science, data-visualization, machine-learning, machine-learning-algorithms, machinelearning, python' and readme: 'code, files, and other assets used in LearnDataSci articles' (tutorial notebooks covering pandas, web scraping, LSH recommendation, reinforcement Q-learning, etc.).
matched fp:66b7aa9bf90d4d5a, llm:Repository description and topics: 'data-analysis, data-science, data-visualization, machine-learning, machine-learning-algorithms, machinelearning, python' and readme: 'code, files, and other assets used in LearnDataSci articles' (tutorial notebooks covering pandas, web scraping, LSH recommendation, reinforcement Q-learning, etc.).