Introduction When we say classification, what we assume is to group items based on their properties or say characteristics. For example, organizing a list of food as fruits and vegetables or two wheelers and four wheelers. In machine learning, classification is an important aspect for supervised learning. Based on labeled data and learning them, the classifier predicts the input values (classifies them according to its learning). These classifiers are specially designed models used in machine learning for classification tasks. Some of common classifier are Random Forest, decision tree, Support vector machine, linear and logistic regression etc. Overall project Explanation Basically, we are going to use random forest classifier to detect Network Anomalies. For this the data are captured from Wireshark application and then exported in csv format for further data manipulation in python. With the sample data set we will create a data frame of selected columns and label encode the string va...