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K-Means: Clustering Without Labels

Name: K-Means: Clustering Without Labels
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Rating: 4.9 (1 reviews)

K-Means is an unsupervised learning algorithm used to group data into clusters based on similarity. It works by dividing data into K groups, where each point belongs to the nearest cluster center, helping uncover hidden patterns without labeled data.

4.9

|2h 51m

K-Means: Clustering Without Labels course

What's Included

Lessons

2h 51m

Duration

Certificate

What You'll Master

Skills and outcomes you'll walk away with

Module 1: Beginner - Foundations of Instance-Based Learning

Module 2: Beginner - Distance Metrics

Module 3: Intermediate - Choosing K and Model Evaluation

Practical Project - 1

Module 4: Intermediate - Feature Scaling and Data Preparation

Module 5: Advanced - Weighted KNN and Regression

Course Curriculum

11 lessons • 2h 51m total

Module 1: Beginner - Foundations of Instance-Based Learning

17m

Module 2: Beginner - Distance Metrics

19m

Module 3: Intermediate - Choosing K and Model Evaluation

17m

Practical Project - 1

10m

Module 4: Intermediate - Feature Scaling and Data Preparation

16m

Module 5: Advanced - Weighted KNN and Regression

17m

Module 6: Advanced - Algorithmic Implementations and Efficiency

18m

Practical Project - 2

Module 7: Expert - High-Dimensional Data and Approximate Nearest Neighbors (ANN)

20m

Module 8: Expert - Real-World Applications and Methodologies

19m

Practical Project - 3

Certification Path

Certification Exam

24 multiple-choice questions • 70% passing score required

Final Project: Customer Segmentation using K-Means Clustering

For your final project, you will apply the K-Means clustering algorithm to an unlabeled real-world dataset. You are provided with a dataset containing customer demographic and purchasing behavior. Your task is to preprocess the data, determine the optimal number of clusters using the Elbow Method and Silhouette Analysis, implement the K-Means algorithm, and interpret the resulting customer segments. You must submit a Jupyter Notebook containing your code, scatter plot visualizations, and a written report explaining your methodology and business recommendations based on the clusters discovered.

Verified Certificate

Earn a verified PDF certificate with unique verification ID upon completion • ₹199