Unveiling K-nearest Neighbors (K-NN) Algorithm: A Beginner's Guide | Machine Learning Algorithm

Опубликовано: 22 Октябрь 2024
на канале: The Don Hub
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Welcome to Don Hub!
In this video, we're demystifying the K-nearest Neighbors (K-NN) algorithm, a fundamental technique in the world of machine learning. Join us as we explore the ins and outs of K-NN, from understanding its intuitive concept to implementing it in Python using scikit-learn.

What You'll Learn:
An intuitive explanation of how K-NN works and its underlying principles.
Step-by-step implementation of K-NN using real-world datasets.
Tips and tricks for fine-tuning the algorithm and optimizing performance.
Practical examples and demonstrations to reinforce your understanding.

Whether you're new to machine learning or looking to expand your knowledge, this video is perfect for you. By the end, you'll have a solid grasp of K-NN and the confidence to apply it to your own projects.

Don't forget to like, subscribe, and hit the bell icon to stay updated on future videos. Let's dive into the world of K-nearest Neighbors together!

🔍 Chapters:
0:00 - Introduction
0:50 - Import Libraries
1:25 - Load Dataset
3:05 - Split Data
6:50 - Feature Scaling
9:05 - Model Training
10:35 - Model Predictions
11:30 - Model Evaluation
13:45 - Model Saving


📝 Resources:
Dataset: https://archive.ics.uci.edu/dataset/5...
Code snippets: https://github.com/niigyanchristian/M...



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