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INT395 — Supervised Learning

Course Overview

INT395 3 Credits L:2 T:0 P:2 Minor AI / ML

This course focuses on employability and skill development in the field of supervised learning. It covers data preprocessing, standard classification algorithms, ensemble learning, regression techniques, time series forecasting, and model evaluation strategies.

Study Units

Unit 1

Introduction and Data Preprocessing

Notes MCQ
Unit 2

Classification with scikit-learn

Notes MCQ
Unit 3

Ensemble Methods and Hyperparameter Tuning

Notes MCQ
Unit 4

Regression with scikit-Learn

Notes MCQ
Unit 5

Time Series Regression

Notes MCQ
Unit 6

Pipelines, Model Evaluation and Model Deployment

Notes MCQ

INT395 - FAQs

How many units are in INT395?

INT395 has 6 units. Each unit includes detailed notes and MCQ practice questions.

What exam resources are available for INT395?

Available resources include: ETE Mock Test.

How to prepare for INT395 exams?

Study each unit's notes thoroughly, practice MCQs to test understanding, and attempt mock tests before exams. Focus on important topics and previous year questions.