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Top 3 Jupyter Notebook Big Data Projects
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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.
H2O.ai
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cortx
CORTX Community Object Storage is 100% open source object storage uniquely optimized for mass capacity storage devices.
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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100DaysofMLCode
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
Jupyter Notebook Big Data related posts
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- Stable Attribution
- Best machine learning framework(s) for production
- Software engineers: consider working on genomics
- Time Series Analysis - Too Narrow a Dataset / Feature Set?
- Data Science Competition
- [PAID] Looking for Phaser.js game developer
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A note from our sponsor - SonarQube
www.sonarqube.org | 23 Mar 2023
Index
What are some of the best open-source Big Data projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | H2O | 6,190 |
2 | cortx | 618 |
3 | 100DaysofMLCode | 288 |