🦠 Malware Classification Project
📌 Problem Statement Malware attacks are increasing rapidly, making automated detection essential. This project focuses on classifying malware samples using machine learning techniques.
🎯 Objectives
- Analyze malware features
- Classify files as malicious or benign
- Improve detection accuracy
🛠 Tools & Technologies
- Python
- Pandas, NumPy
- Scikit-learn
- Machine Learning algorithms
📊 Dataset Malware dataset used for training and testing (publicly available dataset).
- Clone the repository
- Install required libraries
- Run the Python script to train and test the model
📈 Output
- Classification results
- Accuracy and performance metrics
🚀 Future Improvements
- Add deep learning models
- Real-time malware detection
- Feature optimization