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Top 23 Jupyter Notebook Data Science Projects
- Project mention: Microsoft's Open-Source ML Curriculum Is Best to Learn ML from Scratch | news.ycombinator.com | 2025-04-07
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Link: GitHub A fun, practical guide to understanding Bayesian statistics through Python.
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View on GitHub
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
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amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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H2O
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
View the Project on GitHub
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evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- Project mention: TabPFN-2.5 – SOTA foundation model for tabular data | news.ycombinator.com | 2025-11-06
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machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
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ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
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MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).
Jupyter Notebook Data Science discussion
Jupyter Notebook Data Science related posts
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Data Science for Beginners
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Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
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Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
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Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
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Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
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Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
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Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
- A note from our sponsor - SaaSHub www.saashub.com | 23 Dec 2025
Index
What are some of the best open-source Data Science projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | ML-For-Beginners | 82,381 |
| 2 | Made-With-ML | 44,375 |
| 3 | Data-Science-For-Beginners | 31,644 |
| 4 | Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | 28,357 |
| 5 | fastbook | 24,052 |
| 6 | machine-learning-for-trading | 15,993 |
| 7 | Virgilio | 14,299 |
| 8 | python-machine-learning-book | 12,546 |
| 9 | ML-Papers-of-the-Week | 12,156 |
| 10 | python-training | 10,920 |
| 11 | amazon-sagemaker-examples | 10,828 |
| 12 | numerical-linear-algebra | 10,620 |
| 13 | tpot | 10,032 |
| 14 | pycaret | 9,648 |
| 15 | tsfresh | 9,056 |
| 16 | H2O | 7,446 |
| 17 | evidently | 6,920 |
| 18 | TabPFN | 5,317 |
| 19 | machine_learning_complete | 4,971 |
| 20 | nlpaug | 4,637 |
| 21 | ML-foundations | 4,413 |
| 22 | probability | 4,397 |
| 23 | MachineLearningNotebooks | 4,337 |
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