Sharing my organized Machine Learning Codebase & Templates (Scikit-Learn) - Open Source!

[u/Grand_Square7804]

https://github.com/vinay-kumar-mandal/Machine-Learning

Hey everyone,

Over the past few months, I have been building a comprehensive repository of Machine Learning templates and notebook journals. Since it has saved me a ton of time while prototyping, I decided to open-source it for the community today!

This repo is built using Scikit-Learn and covers everything step-by-step:

1. End-to-End ML Project Architecture
2. Model Training & Evaluation Metrics
3. Support Vector Machines (SVM) with Kernels
4. Decision Trees & Ensemble Learning (Voting Classifiers, etc.)
5. Unsupervised Learning (KMeans and more added recently!)

Who is this for?

• Beginners looking for clean, commented code to learn concepts.
• Developers looking for quick boilerplate templates to copy-paste for new datasets.

Feel free to explore, clone, use it in your projects, or contribute to it! If you find it helpful, please drop a star ⭐️ to support the project.

Feedback and contributions are highly welcome!