Lecture Notes || SNS Courseware

Subject Details

Dept : CSE

Sem : 6

Regul : 2023

Faculty : Vinodhini B

phone : 9999999999

E-mail : vinodhni.b.cse@snsct.org

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Lecture Notes

UNIT 1:

Introduction to Machine Learning, Types of ML

Traditional vs. Machine Learning Approach

Applications of Machine Learning

ML Pipeline: Problem Formulation, Data Collection

ML Pipeline: Preprocessing, Modeling

ML Pipeline: Evaluation, Deployment

Key ML Concepts: Dataset Types, Train/Test Split

UNIT 2:

Regression

Linear Regression

Polynomial Regression

Evaluation Metrics: MAE, MSE, R² Score

Classification: Logistic Regression

Lecture Notes