Jupyter Notebook scikit-learn

Open-source Jupyter Notebook projects categorized as scikit-learn
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Topics: #Machine Learning #Python #Data Science #Tensorflow #Deep Learning
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Top 23 Jupyter Notebook scikit-learn Projects

  • ML-For-Beginners

    12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

    Project mention: I want to learn more about AI and Machine Learning | reddit.com/r/ArtificialInteligence | 2023-01-12

  • PythonDataScienceHandbook

    Python Data Science Handbook: full text in Jupyter Notebooks

    Project mention: [Python] Python Data Science Handbook | reddit.com/r/michaelaalcorn | 2023-03-11

  • 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.

  • handson-ml

    ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

    Project mention: need a book recommendation for machine learning on python | reddit.com/r/learnpython | 2022-05-25

    Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is often recommended. You can check out the GitHub repo first: https://github.com/ageron/handson-ml

  • python-machine-learning-book

    The "Python Machine Learning (1st edition)" book code repository and info resource

    Project mention: Can you recommend a Python textbook to replace "An Introduction to Statistical Learning with Applications in R", Witten, J. et. al. [E] | reddit.com/r/statistics | 2022-12-12

  • skorch

    A scikit-learn compatible neural network library that wraps PyTorch

    Project mention: [P] skorch 0.12.0 - HuggingFace integrations for sklearn, M1 support and others | reddit.com/r/MachineLearning | 2022-10-07

    Find a detailled list of changes in the release text.

  • python-machine-learning-book-3rd-edition

    The "Python Machine Learning (3rd edition)" book code repository

  • ML-Workspace

    🛠 All-in-one web-based IDE specialized for machine learning and data science.

    Project mention: [D] I recently quit my job to start a ML company. Would really appreciate feedback on what we're working on. | reddit.com/r/MachineLearning | 2023-01-06

    Also check out: https://github.com/ml-tooling/ml-workspace, it a nice open source project with lots of packages ready to use.

  • SonarLint

    Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.

  • eli5

    A library for debugging/inspecting machine learning classifiers and explaining their predictions

  • dtreeviz

    A python library for decision tree visualization and model interpretation.

  • FLAML

    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

  • machine-learning-book

    Code Repository for Machine Learning with PyTorch and Scikit-Learn

  • hyperlearn

    2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

    Project mention: [Project] BFLOAT16 on ALL hardware (>= 2009), up to 2000x faster ML algos, 50% less RAM usage for all old/new hardware - Hyperlearn Reborn. | reddit.com/r/MachineLearning | 2022-06-02

    Hello everyone!! It's been a while!! Years back I released Hyperlearn https://github.com/danielhanchen/hyperlearn. It has 1.2K Github stars, where I made tonnes of algos faster:

  • imodels

    Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

    Project mention: [D] Have researchers given up on traditional machine learning methods? | reddit.com/r/MachineLearning | 2023-01-31

    - all domains requiring high interpretability absolutely ignore deep learning at all, and put all their research into traditional ML; see e.g. counterfactual examples, important interpretability methods in finance, or rule-based learning, important in medical or law applications

  • code

    Compilation of R and Python programming codes on the Data Professor YouTube channel. (by dataprofessor)

    Project mention: An "Improvement Prediction" error in R Shiny | reddit.com/r/learnprogramming | 2022-06-04

    The following below is my code (I did reference DataProfessor's code here while making my code). Not really sure what my error is and how to fix.

  • concrete-ml

    Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.

    Project mention: Concrete ML: transform machine learning models into a homomorphic equivalent | news.ycombinator.com | 2022-07-05

  • bert-sklearn

    a sklearn wrapper for Google's BERT model

  • 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

  • feature-engineering-tutorials

    Data Science Feature Engineering and Selection Tutorials

  • converse

    Conversational text Analysis using various NLP techniques

  • WallStreetBets_BigDataAnalysis

    Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏

  • poniard

    Streamline scikit-learn model comparison.

    Project mention: Need help with overfitting issue in a model I’m working on… | reddit.com/r/learnmachinelearning | 2023-01-15

    I'm gonna plug my library Poniard, which I think might be helpful for a number of reasons.

  • fake-news

    Building a fake news detector from initial ideation to model deployment

  • aws-lambda-docker-serverless-inference

    Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

  • 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). The latest post mention was on 2023-03-11.

Jupyter Notebook scikit-learn related posts

Index

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

Project Stars
1 ML-For-Beginners 45,498
2 PythonDataScienceHandbook 37,921
3 handson-ml 24,988
4 python-machine-learning-book 11,817
5 skorch 5,088
6 python-machine-learning-book-3rd-edition 3,855
7 ML-Workspace 2,991
8 eli5 2,655
9 dtreeviz 2,465
10 FLAML 2,364
11 machine-learning-book 1,721
12 hyperlearn 1,432
13 imodels 1,072
14 code 753
15 concrete-ml 325
16 bert-sklearn 273
17 linear-tree 236
18 feature-engineering-tutorials 227
19 converse 166
20 WallStreetBets_BigDataAnalysis 144
21 poniard 140
22 fake-news 123
23 aws-lambda-docker-serverless-inference 83

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