What is K Nearest Neighbors? | KNN Explained in Hindi | Simple Overview in 1 Video | CampusX

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 - www.kaggle.com/code/campusx/k...
Coding from scratch - • Coding K Nearest Neigh...
KNN Task: colab.research.google.com/dri...
Solution: colab.research.google.com/dri...
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💭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

[@fromco3930]

Sir please continue NLP playlist and cover Named Entity Recoganation and topic modelling please make videos

[@harshitjaiswal9439]

Sir, your teaching is amazing. I really appreciate your efforts, thank you!

[@abhay-zw3yw]

The way You teach Concept with Implementation , helped a lot in understanding.

[@manojhp4089]

I clearly understand this KNN algo Thank You so much 🥰🥰

[@thelife5628]

​Sir Please complete 100 days of DL. I have seen all your 60 videos from that playlist and waiting for next video. ​I request you to please complete it.

[@shubhamg9735]

❤ Well Explained.....! Please complete Time Series Analysis Playlist...

[@msraji1]

hi sir i really like your explanation and u gives really very good insight about a topic

[@ParthivShah]

Thank You Sir.

[@SACHINKUMAR-px8kq]

Thankyou so much Sir

[@sanajutt5939]

Hello sir I need your help related multi class classification by using knn

[@muhammadsajad2230]

Could you make a video on the computer vision road map? Thanks

[@aounhaider8335]

Sir please provide a mini playlist for data visualization using python. In which we can decide by looking at data, what kind of data visualization tool can be used in data analytics. Thankyou!

[@ShrutiAgrawal-lj7qi]

Hi,
I am following your vedios and I would request you to make some vedio on interview preparation for experienced data scientist.

[@rohantalaviya136]

great video

[@unknow6540]

U r true legend .

[@akibhasanomi4633]

This is a good video

[@saaquibmustafa2109]

Thank you for the session sir. I understood every word said by you but distance k lie Euclidian he q lete hai why not Manhattan?

[@IshaNarang-py7fv]

Really helpful videos. Highly recommended.

[@kyakamhai5759]

❤

[@user-xe5xq8pt9j]

Sir agar data bohat big ho aur missing values bhi almost har column mein ho tab KNN imputed bhi bohat time consuming hai. I talk about KNN imputed for missing values. Same KNN algorithm

[@ganeshreddykomitireddy5128]

sir to overcome the problem of underfitting we can assign weights to the data points after sorting them according to the distance between the new datapoint and the already exisiting datapoints. So the point whose weight is greater will have the greater say. Hope this can solve the problem of underfitting if k=no of datapoints.

[@zerotohero1002]

best teacher ever

[@hmikraminfo7019]

Well explained

[@adityaadi1233]

When will the new session start for DS.

[@maniranjan5799]

Anyone has pdf to onenote hand written notes use in this lecture? ?

[@aayushupadhyay7106]

Really exited ❤

[@canopus127]

Why did you exit bro?

[@justrax8466]

Sir please complete the deep learning course mene all videos dekh li hai

[@Findout1882]

great explanation

[@dharmeshsanandiya9607]

verygood teaching

[@ItachiUchiha-qe5py]

If we have more prediction classes, then it is possible to use KNN

[@sidbhattnoida]

I had one doubt....Shouldn't we apply scaling before doing the test train split.....because if we are applying it later....we are using the scaling used in the train for the test...?

[@manojhp4089]

You want to apply Scale befor train test split

[@satvikbisht690]

I am planning to take the mentorship program. Should I enroll it now or wait for the next batch?

[@duniya-wale]

Don't buy
waiting
Rs 10,000

[@abhinavatram1277]

Can we use KNN for Clustering ?

[@not_amanullah]

no

[@bapunjena6174]

It's a humble request that sir please don't be like other youtubers those who are not focusing on teaching , they are focusing on business after increasing subscribers. 🙏🏻🙏🏻

[@surajnikam3327]

❤

[@moinologics]

Thanks for the awesome tutorial
Need to know about one machine learning model problem I'm trying to resolve from last 2 months but not getting appropriately solution.
problem :- we have one dataset where there are three columns start_date, end_date, isFree in formats dd-mm-yyyyThh:mm:ssZ, dd-mm-yyyyThh:mm:ssZ, Boolean.
can anyone help me to build ml (probably ann) model on this dataset?

[@sofiasadia6777]

watch this playlist from the start. specially 34 video. it'll definitely help you.

[@sanajutt5939]

Please reply

[@deltapie5229]

bhaiya ekh dum sexy lecture h kya samjhaya h

[@AbdurRahman-lv9ec]

❤

[@abhishekkumar-hc2ny]

❤