Welcome to my repository for Machine Learning and Natural Language Processing. This space is a dedicated resource for learning through detailed notes, key topic explanations, and practical program implementations.

• About the Repository
• Tech Stack
• Repository Structure
• Topics Covered
• Installation & Usage
• Contact

This repository is designed to be a "living document" where I share:

• Conceptual Notes: Deep dives into ML/NLP math and theory.
• Practical Implementations: Jupyter Notebooks showing step-by-step code.
• Real-world Datasets: Working with CSV data for prediction and analysis.

• Language: Python
• Data Analysis: Pandas, NumPy
• ML Libraries: Scikit-Learn
• NLP: NLTK, Spacy
• Notebooks: Jupyter Notebook

├── NLP/                    # NLP-specific notes and projects
├── Heart.csv               # Dataset for Heart Disease Prediction
├── train.csv               # General training dataset
├── LinearRegression.ipynb  # Core implementation of Linear Regression
├── program1.ipynb          # Topic 1: [Add Topic Name]
├── program2.ipynb          # Topic 2: [Add Topic Name]
...
└── README.md               # Documentation