PGCA1946
Machine Learning Laboratory
Program:M.Sc IT
Semester:Semester 4
Credits:2 Credits
Units:1 Units
Subject Overview
The practical companion to Machine Learning, designing and evaluating data models using linear regression, logistic regression, K-Nearest Neighbors, K-Means clustering and Support Vector Machines in Python, R or MATLAB. A 2-credit elective lab paper.
Unit-wise Syllabus
1 units — click WhatsApp below to get the full notes for each
1
Unit 1: ML model implementation
Data model design and evaluation using Linear Regression, Logistic Regression, K-Nearest Neighbors, K-Means Clustering and Support Vector Machines, using standard or assumed datasets in Python/R/MATLAB