Intrusion-Detection-in-KDD99-dataset

A machine learning approach to intrusion detection in KDD99 dataset using machine learning algorithms in Python. Steps include

1. Data Transformation:

Label encoding and MinMax Scaling

2. Feature Selection:

Important feature selection using embedded method

3. Model Building:

Training Random Forest Classifiers, Decision Trees Classifiers, and K-nearest neighbors classifiers on training dataset and comparing accuracies of all three of them. Random Forest Classifiers and Decision Tree Classifier worked best.