projects-basic-machinelearning

Projects - Basic Machine Learning

Welcome to the projects-basic-machinelearning repository! This repository showcases various basic machine learning projects aimed at helping beginners understand key concepts and techniques in machine learning.

Current Project: Email Spam Classifier

Overview

The Email Spam Classifier project is designed to automatically classify emails as "spam" or "not spam." Using natural language processing (NLP) and machine learning algorithms, this project provides a practical example of how machine learning can be applied to real-world problems.

Table of Contents

• Getting Started
• Project Structure
• Dependencies
• Usage
• Data
• License
• Contributing
• Contact

Getting Started

To get started with this project, clone the repository to your local machine:

git clone https://github.com/sathvikeppakayala/projects-basic-machinelearning.git
cd projects-basic-machinelearning/email-spam-classifier

email-spam-classifier/
├── data/
│   └── spam_data.csv       # Dataset used for training and testing
├── models/
│   └── spam_classifier.py   # Model training and evaluation script
├── notebooks/
│   └── exploratory_analysis.ipynb # Jupyter Notebook for exploratory data analysis
├── requirements.txt         # Required Python packages
└── README.md                # Project documentation


pip install -r requirements.txt

python models/email_spam_detection_project_basic.py

jupyter notebook notebooks/exploratory_analysis.ipynb

Data

The dataset used for this project is spam_data.csv, which contains labeled examples of spam and non-spam emails. You can find similar datasets on platforms like Kaggle or the UCI Machine Learning Repository.

Contact

For any questions or feedback, feel free to reach out:

• Your Name - eppakayalasathvik72@gmail.com
• GitHub: sathvikeppakayala