https://github.com/sumit0ubey/machine_learning

This repository showcases diverse machine learning projects, including: #Dimensional Reduction: Techniques for reducing feature space. #Ensembles: Methods like Gradient Boosting. #Supervised ML: Time series analysis and predictive modeling. #Unsupervised ML: Clustering and pattern discovery.
https://github.com/sumit0ubey/machine_learning

jupternotebook machine-learning matplotlib-pyplot pandas seaborn sklearn

Last synced: 12 months ago
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This repository showcases diverse machine learning projects, including: #Dimensional Reduction: Techniques for reducing feature space. #Ensembles: Methods like Gradient Boosting. #Supervised ML: Time series analysis and predictive modeling. #Unsupervised ML: Clustering and pattern discovery.

• Host: GitHub
• URL: https://github.com/sumit0ubey/machine_learning
• Owner: Sumit0ubey
• Created: 2024-06-17T14:21:15.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-03-26T15:16:12.000Z (about 1 year ago)
• Last Synced: 2025-03-26T16:26:22.695Z (about 1 year ago)
• Topics: jupternotebook, machine-learning, matplotlib-pyplot, pandas, seaborn, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 17.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

          
# Machine Learning  

This repository contains various machine learning algorithms implemented in Python. Each algorithm includes a Jupyter Notebook demonstrating its application and explanation of the concepts.  

## 📁 **Contents**  

- **[1. Supervised Learning](/Supervised_ML/)** — Models like linear regression, svm, knn, decision tree, etc.

- **[2. Unsupervised Learning](/Unsupervised_ML/)** — Models like Kmeans, etc.

- **[3. Ensembles](/Ensembles/)** — Models like random forest, gradient boosting, adaboost, etc.

- **[3. Dimensionally Reduction](/Dimensionally%20Reduction/)** — Models like PCA, LDA, etc.

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## 🛠️ **Requirements**  

Ensure you have the following libraries installed:  

- Python 3.x  

- NumPy  

- Pandas  

- Scikit-learn  

- Matplotlib  

- Jupyter Notebook  

- TensorFlow  

- Keras  

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## 🚀 **Installation**  

1. **Clone the repository:**  

   ```bash

   git clone https://github.com/Sumit0ubey/Machine_learning.git