Reference no: EM132399649

Reading and processing dataset

replace the following path with the directory path where you placed the KDD dataset

Differentiating between nominal, binary, and numeric features

root_shell is marked as a continuous feature in the kddcup.names

file, but it is supposed to be a binary feature according to the

dataset documentation

Let's proceed with StandardScaler- Apply to all the numeric columns

5-class supervised classification

K Nearest Neighbors Classifier

Support Vector machine classifier

Attempting unsupervised learning

First, let's visualize the dataset (only numeric cols)

Use PCA to reduce dimensionality so we can visualize the dataset on a 2d plot
Apply k-means (k=5, only using numeric cols) + PCA + plot
Fit the training data to a k-means clustering estimator model
Retrieve the labels assigned to each training sample

Attachment:- Lab7C.rar