Network Intrusion Detection
Introduction At the moment we will deal with the "Network Intrusion Detection" subject. The objective of this assignment is finding computer network attacks are normal or anomalous with some features. Here, we begin with a Kaggle dataset. The "Network Intrusion Detection" dataset ( https://www.kaggle.com/datasets/sampadab17/network-intrusion-detection) is a collection of network traffic data that can be used to detect and classify unauthorized or malicious activities within a computer network. Binary classification refers to the task of categorizing instances into one of two classes, in this case, normal or intrusive network traffic. Data preparation Data preparation is an essential step in the machine learning process to ensure that the data is in a suitable format for analysis. Here are some common data preparation steps we are follow for binary classification using the "Network Intrusion Detection" dataset : Load the Dataset: Start by loa