Intermediate

K-Nearest Neighbors for Machine Learning

Name: K-Nearest Neighbors for Machine Learning
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K-Nearest Neighbors (KNN) is a simple machine learning algorithm used for classification. It predicts the class of a data point by analyzing the closest data points (neighbors), making decisions based on similarity and distance.

4.7

|2h 23m

K-Nearest Neighbors for Machine Learning course

What's Included

Lessons

2h 23m

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

Module 4: Intermediate - Feature Scaling and Data Preparation

Module 5: Advanced - Weighted KNN and Regression

Module 6: Advanced - Algorithmic Implementations and Efficiency

Course Curriculum

8 lessons • 2h 23m 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

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

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

20m

Module 8: Expert - Real-World Applications and Methodologies

19m

Certification Path

Certification Exam

24 multiple-choice questions • 70% passing score required

KNN Final Project: Predicting Similarity and Performance Optimization

Students will design and build a K-Nearest Neighbors (KNN) model from scratch to solve a classification problem. The assignment involves selecting a dataset, implementing various distance metrics (Euclidean, Manhattan), performing cross-validation to find the optimal 'k' value, and handling data normalization. The final report must include an analysis of how different distance metrics and data scaling techniques impact the model's performance.

Verified Certificate

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