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Top 23 Jupyter Notebook scikit-learn Projects
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for allProject mention: I want to learn more about AI and Machine Learning | reddit.com/r/ArtificialInteligence | 2023-01-12
Python Data Science Handbook: full text in Jupyter NotebooksProject mention: [Python] Python Data Science Handbook | reddit.com/r/michaelaalcorn | 2023-03-11
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.
⛔️ 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
The "Python Machine Learning (1st edition)" book code repository and info resourceProject 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
A scikit-learn compatible neural network library that wraps PyTorchProject 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.
The "Python Machine Learning (3rd edition)" book code repository
🛠 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.
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A library for debugging/inspecting machine learning classifiers and explaining their predictions
A python library for decision tree visualization and model interpretation.
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
Code Repository for Machine Learning with PyTorch and Scikit-Learn
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:
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
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: 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
a sklearn wrapper for Google's BERT model
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
Data Science Feature Engineering and Selection Tutorials
Conversational text Analysis using various NLP techniques
Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏
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.
Building a fake news detector from initial ideation to model deployment
Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
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Jupyter Notebook scikit-learn related posts
[Python] Python Data Science Handbook
1 project | reddit.com/r/michaelaalcorn | 11 Mar 2023
Advise for applying theory
1 project | reddit.com/r/learnmachinelearning | 6 Mar 2023
ML and Data Science coding resources.
1 project | reddit.com/r/learnmachinelearning | 26 Feb 2023
Site like r4ds but for Python
1 project | reddit.com/r/datascience | 17 Feb 2023
1 project | reddit.com/r/cwru | 8 Feb 2023
How to go about getting an internship or paid training?
1 project | reddit.com/r/learnmachinelearning | 18 Jan 2023
Need help with overfitting issue in a model I’m working on…
1 project | reddit.com/r/learnmachinelearning | 15 Jan 2023
A note from our sponsor - #<SponsorshipServiceOld:0x00007f160f5b2210>
www.saashub.com | 1 Apr 2023
What are some of the best open-source scikit-learn projects in Jupyter Notebook? This list will help you: