https://github.com/komangandika/mlmodel
This is my list of machine learning model, simple implementation nothing too advance. Happy learning
https://github.com/komangandika/mlmodel
cheatsheet classification decision-trees kmeans-clustering knearest-neighbor-algorithm logistic-regression machine-learning notes random-forest
Last synced: 8 months ago
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This is my list of machine learning model, simple implementation nothing too advance. Happy learning
- Host: GitHub
- URL: https://github.com/komangandika/mlmodel
- Owner: KomangAndika
- Created: 2023-10-03T17:45:01.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-12-24T14:53:35.000Z (almost 2 years ago)
- Last Synced: 2025-01-21T16:26:25.440Z (10 months ago)
- Topics: cheatsheet, classification, decision-trees, kmeans-clustering, knearest-neighbor-algorithm, logistic-regression, machine-learning, notes, random-forest
- Language: Jupyter Notebook
- Homepage:
- Size: 1.43 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Machine Learning Model Collection
Welcome to the Machine Learning Model Collection repository! This project serves as a centralized hub for various machine learning models, providing a diverse set of code implementations. Whether you're a beginner exploring the fundamentals or an experienced practitioner seeking reference implementations, this collection offers a range of models covering different domains and applications.
## Features
- Diverse set of machine learning models
- Clear and concise code implementations
- Suitable for both beginners and experienced practitioners
- Continuous updates and additions
Feel free to browse through the codebase, experiment with different models, and contribute to the growing collection. Your contributions are highly appreciated as we work together to build a valuable resource for the machine learning community.
The code is from my journey in Python for Data Science and Machine Learning Bootcamp from Udemy.