Python Projects Repository

📌 About

This repository contains Python projects and scripts showcasing my work in data analysis, machine learning, and automation.
It is designed to be easy to navigate for collaborators, recruiters, and hiring managers.
The content here demonstrates practical problem-solving skills and the ability to translate concepts into working solutions.

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✨ Highlights

• Data Analysis & Visualization – Cleaning, transforming, and visualizing datasets using Pandas, NumPy, Matplotlib, and Seaborn.
• Machine Learning – Building and deploying predictive models using Scikit-learn, XGBoost, and other ML libraries.
• Automation – Writing Python scripts to automate repetitive workflows.
• Organized Project Structure –
  • Datasets/ → Contains raw and processed datasets
  • Models/ → Stores trained model .pkl files and scalers
  • Notebooks/ → Includes Python scripts (.py) and Jupyter notebooks (.ipynb)
• Reproducibility – Clear folder structure and documented code for easy replication.

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📂 Repository Structure

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├── Datasets/       # Data used for training, testing, and analysis
├── Models/         # Trained machine learning models and preprocessing artifacts
├── Notebooks/      # Python scripts and Jupyter notebooks
└── README.md       # Project documentation