Jupyter Notebook random-forest

Open-source Jupyter Notebook projects categorized as random-forest

Top 8 Jupyter Notebook random-forest Projects

  • 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.

    Project mention: Top 10+ OpenAI Alternatives | dev.to | 2023-02-13


  • dtreeviz

    A python library for decision tree visualization and model interpretation.

  • 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.


    A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

    Project mention: Show HN: AutoML Python Package for Tabular Data with Automatic Documentation | news.ycombinator.com | 2022-09-05
  • linear-tree

    A python library to build Model Trees with Linear Models at the leaves.

    Project mention: Running a randomforest on residuals from a ridge linear model in scikit learn | reddit.com/r/datascience | 2022-10-27

    Check out https://github.com/cerlymarco/linear-tree

  • Intrusion-Detection-System-Using-Machine-Learning

    Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

    Project mention: [D] Most Popular AI Research Aug 2022 - Ranked Based On GitHub Stars | reddit.com/r/MachineLearning | 2022-09-03
  • NLU-engine-prototype-benchmarks

    Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.

  • CSGO-Pro-Gear-Performance-and-EDA

    Modeling Professional (CS:GO) Gamer's Accuracy Performance Based on Gear and Settings, and Exploratory Data Analysis.

    Project mention: The outputs of my jupyter notebooks inside of Github repos only show half of what they used to. Why did this happen and how to fix? I am certain that the outputs used to show everything when viewed in Github, and I have not reuploaded the notebooks to the repo's since then. | reddit.com/r/github | 2022-03-24
  • InfluxDB

    Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

  • psych-verbs

    Research experiment design and classification of Romanian emotion verbs

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). The latest post mention was on 2023-02-13.


What are some of the best open-source random-forest projects in Jupyter Notebook? This list will help you:

Project Stars
1 H2O 6,190
2 dtreeviz 2,460
3 FLAML 2,334
4 linear-tree 234
5 Intrusion-Detection-System-Using-Machine-Learning 174
6 NLU-engine-prototype-benchmarks 4
7 CSGO-Pro-Gear-Performance-and-EDA 1
8 psych-verbs 0
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