Top 14 Jupyter Notebook scikit-learn Projects
Python Data Science Handbook: full text in Jupyter NotebooksProject mention: Book for a specific purpose | reddit.com/r/learnpython | 2022-01-15
The Python Data Science Handbook: https://github.com/jakevdp/PythonDataScienceHandbook
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for allProject mention: Top Github repo trends in 2021 | dev.to | 2022-01-12
three educational courses- Web Dev, ML, and IoT for beginners. Note re using educational resources as a strategy for marketing , at least the ML course links to various Azure services. Google does this a bunch as well, with Collab notebooks often being used to demo educational materials.
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
The "Python Machine Learning (1st edition)" book code repository and info resourceProject mention: What is the purpose of meshgrid in Python / NumPy? | reddit.com/r/codehunter | 2022-01-06
I am studying "Python Machine Learning" from Sebastian Raschka, and he is using it for plotting the decision borders. See input 11 here.
A scikit-learn compatible neural network library that wraps PyTorchProject mention: [P] ray-skorch - distributed PyTorch on Ray with sklearn API | reddit.com/r/MachineLearning | 2022-01-04
I'm the principal author of ray-skorch, a library that lets you run distributed PyTorch training on large-scale datasets while providing a familiar, scikit-learn compatible skorch API, integrating well with the rest of the scikit-learn ecosystem.
The "Python Machine Learning (3rd edition)" book code repositoryProject mention: What does %-*s do in a print statement? | reddit.com/r/learnpython | 2021-12-08
from Cell 53, here
A library for debugging/inspecting machine learning classifiers and explaining their predictionsProject mention: How to extract keywords important to a text classification problem? | reddit.com/r/LanguageTechnology | 2021-03-01
https://github.com/TeamHG-Memex/eli5 can help you.
🛠 All-in-one web-based IDE specialized for machine learning and data science.Project mention: All-in-One Docker Based IDE for Data Science and ML | news.ycombinator.com | 2021-09-24
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).Project mention: [D] Looking for open source projects to contribute | reddit.com/r/MachineLearning | 2022-01-09
Our package imodels is expanding our sklearn-compatible set of interpretable models and always looking for new contributors!
A python library to build Model Trees with Linear Models at the leaves.Project mention: GitHub - cerlymarco/linear-tree: A python library to build Model Trees with Linear Models at the leaves. | reddit.com/r/learnmachinelearning | 2021-08-18
Building a fake news detector from initial ideation to model deploymentProject mention: Building an End-to-End Machine Learning Application From Idea to Deployment | reddit.com/r/learnmachinelearning | 2021-02-06
Hi I had the same issue I think code for EDA part is in https://github.com/mihail911/fake-news/blob/master/notebooks/data_analysis.ipynb
Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏Project mention: I built an AI to classify good DD and bad DD, also shows the growth percentage of a stock associated with a post. | reddit.com/r/wallstreetbets | 2021-05-16
Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.Project mention: AWS - NLP newsletter - 2021. Aug. | dev.to | 2021-08-27
GitHub: Train a BlazingText text classification algorithm in SageMaker, inference with AWS Lambda
The current project provides a Machine Learning trained model that is able to classify the trait with maximum value of the Big Five Personality Test, given the answers of this one.Project mention: Big 5 Personality prediction using text data. | reddit.com/r/bigdata | 2021-01-25
I used xi squared to select the relevant feature, you can check it out in my repo BigFivePersonality
Research experiment design and classification of Romanian emotion verbsProject mention: 4 tips for creating an impressive data science portfolio on GitHub | dev.to | 2021-06-06
For example, for my research project on psych-verbs I wrote a paper-like README targeted at academics/fellow linguists, whereas for my movie recommender system I wrote an informal short description and included a screencast, aimed at a general audience.
Jupyter Notebook scikit-learn related posts
Book for a specific purpose
1 project | reddit.com/r/learnpython | 15 Jan 2022
[P] ray-skorch - distributed PyTorch on Ray with sklearn API
2 projects | reddit.com/r/MachineLearning | 4 Jan 2022
[Q] Books and other sources for self-studying statistics from the ground up
1 project | reddit.com/r/statistics | 2 Jan 2022
What are some Python books equivalent of Hadley Wickham’s R for Data Science?
1 project | reddit.com/r/datascience | 16 Dec 2021
1 project | reddit.com/r/OMSA | 14 Dec 2021
Learning Python for finance
1 project | reddit.com/r/FinancialCareers | 11 Dec 2021
What does %-*s do in a print statement?
1 project | reddit.com/r/learnpython | 8 Dec 2021
What are some of the best open-source scikit-learn projects in Jupyter Notebook? This list will help you:
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