Course CurriculumComputer ScienceBest Seller

Machine Learning

Teaches how computational models learn patterns from data to make predictions or group observations.

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Beginner → Advanced

6 Detailed Modules

Industry Curriculum

Curriculum Modules

Topic-wise technical units

Learning Objectives

Core conceptual milestones

Sample Project References

Hands-on minor & major projects

The Learning Experience

What You'll Learn

The objectives below outline the domain frameworks, industry practices, and practical capabilities covered in this curriculum.

Understand ML workflows.

Prepare data.

Build regression/classification models.

Evaluate and compare performance.

Structured Technical Track

Explore the Curriculum

A comprehensive, industry-aligned learning journey engineered to take you from foundational concepts to advanced practical implementation.

6 Modules•22 Core Topics

Module 1

ML Fundamentals

3 Topics

ConceptsTraining/testingFeatures/labels

Hands-on Exercises & LabsFoundations

Module 2

Data Preparation

4 Topics

CleaningEncodingScalingFeature engineering

Hands-on Exercises & LabsCore Specialization

Module 3

Supervised Learning

4 Topics

RegressionClassificationDecision treesRandom forest

Hands-on Exercises & LabsCore Specialization

Module 4

Unsupervised Learning

3 Topics

ClusteringSimilaritySegmentation

Hands-on Exercises & LabsCore Specialization

Module 5

Evaluation

4 Topics

AccuracyPrecision/recallConfusion matrixCross-validation

Hands-on Exercises & LabsCore Specialization

Module 6

Optimization & Deployment

4 Topics

Hyperparameter conceptsModel selectionDeployment basicsScikit-learn

Hands-on Exercises & LabsAdvanced Capstone

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Download the official curriculum PDF with comprehensive milestones and project descriptions.

Practical Application

Build Through Projects

Put your learning into practice with sample project references designed to build demonstrable problem-solving capabilities.

Minor Project

House Price Prediction

Foundational hands-on milestone project to validate core domain techniques and build confidence in practical implementation.

Sample Reference ProjectMilestone 1

Major Capstone Project

Customer Churn Prediction System

Comprehensive end-to-end industry capstone designed to integrate all modules into a production-style portfolio piece.

Sample Capstone ProjectMilestone 2

Where This Learning Takes You

Target Proficiency & Practical Capability

Practical understanding of the ML lifecycle from data preparation to evaluation and basic deployment.

The Learning Framework

Standard Program Progression

The standard academic progression structured from introductory principles to project-backed mastery.

Domain Orientation

Foundations & Scope

Foundation Training

Core Concepts

Core Skills

Technical Principles

Practical Exercises

Guided Labs

Minor Project

First Milestone

Advanced Training

Deep Dives

Major Project

Capstone Execution

Evaluation

Review & Feedback

Completion

Program Wrap-up

Domain Orientation

Foundations & Scope

Foundation Training

Core Concepts

Core Skills

Technical Principles

Practical Exercises

Guided Labs

Minor Project

First Milestone

Advanced Training

Deep Dives

Major Project

Capstone Execution

Evaluation

Review & Feedback

Completion

Program Wrap-up

Curriculum is indicative and may be updated or modified based on evolving industry requirements and program needs. The minor and major projects are sample references only and may vary based on project requirements, student learning progress, and mentor guidance.

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