TRACK 14•Machine Learning Track•INTERMEDIATE

Unsupervised Learning

Name: Unsupervised Learning
Price: 2799.00 INR
Availability: InStock

K-Means, DBSCAN, PCA, and anomaly detection — finding patterns in unlabeled data.

Algorithms from ScratchReal-World Datasets & ExperimentsFull Syllabus Access

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Instructor

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9 Modules

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9 Lessons & Labs

Enrollment1-Year Full Access

₹2,799

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1-Year full access to all 9 modules & labs

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Overview & Outcomes

Course Learning Objectives

Learn to find structure in unlabeled data. K-Means, hierarchical clustering, DBSCAN, Gaussian mixture models, PCA, and anomaly detection techniques.

Core Curriculum Competencies

What you'll master

K-Means clustering: centroids, inertia & elbow method
Hierarchical clustering & DBSCAN density-based clustering
Dimensionality reduction with PCA & t-SNE

Gaussian Mixture Models (GMM) & Expectation-Maximization

Anomaly detection, outlier removal & isolation forests

Syllabus & Modules

Course Curriculum

A comprehensive breakdown of all modules, theory readings, interactive quizzes, and compiler practice labs.

Module 1: Introduction to Unsupervised Learning

1 Lessons

1.1Introduction to Unsupervised LearningREADING

Module 2: K-Means Clustering

1 Lessons

2.1K-Means ClusteringREADING

Module 3: Hierarchical Clustering

Locked

3.1Hierarchical ClusteringREADING

Module 4: DBSCAN: Density-Based Clustering

Locked

4.1DBSCAN: Density-Based ClusteringREADING

Module 5: Gaussian Mixture Models

Locked

5.1Gaussian Mixture ModelsREADING

Module 6: Dimensionality Reduction: PCA

Locked

6.1Dimensionality Reduction: PCAREADING

Full Syllabus Gated (7+ Modules)

Unlock Full Curriculum & Labs

Enroll to unlock all 9 modules, 9 coding labs, automated graded quizzes, solution walk-throughs & verified certificate.

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Lead Instructor & Mentor

Instructor

Passionate engineer and educator specializing in core algorithms, production backend systems, and modern AI engineering.