This repository contains an R Markdown project for analyzing and classifying spam emails using machine learning techniques. The project includes data loading, text preprocessing, exploratory analysis, and model building to detect spam effectively.
- Data Preprocessing: Cleaning and tokenizing email text
- Exploratory Data Analysis (EDA): Visualizing word frequency and patterns
- Machine Learning Models: Training classifiers for spam detection
- Performance Evaluation: Measuring accuracy, precision, and recall