https://github.com/shubhamgoyal575/machine-learning-case-studies
https://github.com/shubhamgoyal575/machine-learning-case-studies
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/shubhamgoyal575/machine-learning-case-studies
- Owner: shubhamgoyal575
- Created: 2025-01-19T06:57:22.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-02-03T17:23:44.000Z (8 months ago)
- Last Synced: 2025-02-03T18:32:47.481Z (8 months ago)
- Language: Jupyter Notebook
- Size: 2.78 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Support: Support Vector Machine/SVM-CaseStudy.ipynb
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README
## 🤖 Machine Learning Models Repository
Welcome to the Machine Learning Models Repository! This repository contains implementations of various machine learning models, each written in Python. It is designed as a collection of ready-to-use models for learning, experimentation, and real-world applications.
## 📖 Repository Overview
This repository includes implementations of various machine learning models, categorized into:
- Supervised Learning
- Unsupervised Learning
- Deep Learning
## Each model file contains:
- Code for preprocessing, training, and evaluation.
- Comments explaining each step for ease of understanding.
- Example datasets (where applicable) for quick experimentation.
## 🛠️ Tools and Technologies Used
**Programming Language:** Python
**Libraries:**
- numpy and pandas for data manipulation.
- scikit-learn for machine learning algorithms and utilities.
- matplotlib and seaborn for data visualization.
- tensorflow or pytorch for deep learning models.