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Computer Science and Engineering
Introduction
Objective
List of experiments
Target Audience
Course Alignment
Feedback
Introduction
Objective
List of experiments
Target Audience
Course Alignment
Feedback
Machine Learning Virtual Laboratory
Data Preprocessing and Feature Engineering
Linear Regression
Binary Classification and Decision Boundary Analysis using Logistic Regression
k-Nearest Neighbors (KNN)
Naïve Bayes Classification for Text and Categorical Data using Prior and Posterior Probabilities
Decision Trees
Random Forest
Support Vector Machine (SVM)
Clustering: K-Means Algorithm
Dimensionality Reduction: Principal Component Analysis (PCA)
