import pandas as pd import numpy as np import seaborn as sns import itertools from sklearn.tree import DecisionTreeClassifier from sklearn.metrics import confusion_matrix from sklearn.decomposition ...

This project consists of an implementation of Principal Component Analysis (PCA) in Python. PCA is a dimensionality reduction technique that transforms a set of correlated variables into a set of ...

Learn three methods to perform PCA on categorical or mixed data types in Python: one-hot encoding, factor analysis, and mixed data PCA. Compare their advantages and disadvantages.

Network Intrusion Detection Systems (NIDS) are a significant advance in addressing the ever-changing nature of information systems and preventing potential cyber-attacks. The complexity and volume of ...