MachineLearning_Projects

🤖 Machine Learning Projects

A collection of my Machine Learning projects, ranging from beginner-friendly experiments to advanced research-oriented implementations.

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📂 Repository Structure

• data/ – Datasets used in the projects
• notebooks/ – Jupyter notebooks for experiments
• src/ – Source code and modules
• README.md – Project documentation (this file)

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📊 Projects Included

Beginner Level

• Acheivinig 95%+ accuracy on Sentiment analysis on Amazon sale data using logitic regression and Naive Bayes

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🚀 How to Run

1. Clone the repository:

   git clone https://github.com/your-username/MachineLearning_Projects.git

2. Navigate into the project folder:

   cd MachineLearning_Projects

3. Install dependencies:

   pip install -r requirements.txt

4. Open Jupyter Notebook:

   jupyter notebook

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🛠️ Technologies Used

• Python 🐍
• NumPy, Pandas
• Matplotlib, Seaborn
• Scikit-learn
• TensorFlow / PyTorch

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