What is K Nearest Neighbors? | KNN Explained in Hindi | Simple Overview in 1 Video | CampusX
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Curious about K Nearest Neighbors
Curious about K Nearest Neighbors (KNN) in the world of machine learning? This video is your easy-to-follow guide, breaking down KNN without the techy jargon.
🌟 Basic Concept: Imagine finding friends in your neighborhood; KNN works kind of like that in the machine learning world.
🤖 How It Works: We'll simplify the process of classifying data points based on their closest neighbors.
🚀 Practical Applications: See where KNN shines and how it's used in real-world scenarios.
💡 Why It's Cool:
KNN is like having a reliable buddy system for making predictions in machine learning. It's simple but powerful!
🔗 Resources:
Code - https://www.kaggle.com/code/campusx/k...
Coding from scratch - Coding K Nearest Neighbors from Scrat...
KNN Task: https://colab.research.google.com/dri...
Solution: https://colab.research.google.com/dri...
============================
Do you want to learn from me?
Check my affordable mentorship program at : https://learnwith.campusx.in
============================
📱 Grow with us:
CampusX' LinkedIn: LinkedIn: campusx-official
CampusX on Instagram for daily tips: Instagram: campusx.official
My LinkedIn: LinkedIn: nitish-singh-03412789
Discord: Discord: discord
👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science!
💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you!
⌚Time Stamps⌚
00:00 - Intro
01:04 - KNN Intuition
08:26 - KNN on breast cancer dataset / Code Example
17:35 - How to select K?
23:28 - Decision Surface
29:58 - Overfitting and Underfitting in KNN
39:08 - Limitations of KNN
51:48 - Outro
✨ Hashtags✨
#KNNExplained #MachineLearningBasics #SimplifiedTech #LearnWithData #EasyMachineLearning
🌟 Basic Concept: Imagine finding friends in your neighborhood; KNN works kind of like that in the machine learning world.
🤖 How It Works: We'll simplify the process of classifying data points based on their closest neighbors.
🚀 Practical Applications: See where KNN shines and how it's used in real-world scenarios.
💡 Why It's Cool:
KNN is like having a reliable buddy system for making predictions in machine learning. It's simple but powerful!
🔗 Resources:
Code - https://www.kaggle.com/code/campusx/k...
Coding from scratch - Coding K Nearest Neighbors from Scrat...
KNN Task: https://colab.research.google.com/dri...
Solution: https://colab.research.google.com/dri...
============================
Do you want to learn from me?
Check my affordable mentorship program at : https://learnwith.campusx.in
============================
📱 Grow with us:
CampusX' LinkedIn: LinkedIn: campusx-official
CampusX on Instagram for daily tips: Instagram: campusx.official
My LinkedIn: LinkedIn: nitish-singh-03412789
Discord: Discord: discord
👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science!
💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you!
⌚Time Stamps⌚
00:00 - Intro
01:04 - KNN Intuition
08:26 - KNN on breast cancer dataset / Code Example
17:35 - How to select K?
23:28 - Decision Surface
29:58 - Overfitting and Underfitting in KNN
39:08 - Limitations of KNN
51:48 - Outro
✨ Hashtags✨
#KNNExplained #MachineLearningBasics #SimplifiedTech #LearnWithData #EasyMachineLearning
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