KNN Algorithm Explained in Machine Learning | K-Nearest Neighbors with Python

Описание: In this video, I explain the K-Nearest Neighbors (KNN) algorithm, one of the simplest and most important supervised machine learning algorithms.

The video covers both theory and practical implementation of KNN using Python and the Iris dataset. This content is prepared as part of my academic learning and Machine Learning class activity.

📌 Topics covered in this video:
✔ What is KNN algorithm
✔ Real-life example of KNN
✔ How KNN works step by step
✔ Role of K value
✔ Euclidean distance concept
✔ Python implementation using scikit-learn
✔ Accuracy evaluation

👨‍🎓 About Me:
My name is Shami Kumar.
I am a B.Tech 2nd-year student in Computer Science and Engineering (Data Science) at Rungta College of Engineering and Technology.

🔗 Connect with me:
LinkedIn:   / shami-kumar-192781323  
Twitter (X): https://x.com/Shami_Kumar1

💻 GitHub Repository:
https://github.com/Shami-sharma/Class...

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This video demonstrates conceptual understanding and practical implementation of the KNN algorithm.