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What is K Nearest Neighbors? | KNN Explained in Hindi | Simple Overview in 1 Video | CampusX
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- Опубліковано 12 сер 2024
- 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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👍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
Sir please continue NLP playlist and cover Named Entity Recoganation and topic modelling please make videos
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.
Sir, your teaching is amazing. I really appreciate your efforts, thank you!
I clearly understand this KNN algo Thank You so much 🥰🥰
The way You teach Concept with Implementation , helped a lot in understanding.
When i used this algo in task code using standard scaler instead of minmax i got accuracy 0.79 so please see that and that for only 2 neighbors. The solution given has accuracy of 0.72
hi sir i really like your explanation and u gives really very good insight about a topic
Thank You Sir.
❤ Well Explained.....! Please complete Time Series Analysis Playlist...
Thankyou so much Sir
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
Hi,
I am following your vedios and I would request you to make some vedio on interview preparation for experienced data scientist.
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!
great video
This is a good video
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.
Could you make a video on the computer vision road map? Thanks
Hello sir I need your help related multi class classification by using knn
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?
U r true legend .
best teacher ever
Well explained
Anyone has pdf to onenote hand written notes use in this lecture? ?
Really helpful videos. Highly recommended.
❤
Sir please complete the deep learning course mene all videos dekh li hai
verygood teaching
great explanation
Really exited ❤
Why did you exit bro?
When will the new session start for DS.
If we have more prediction classes, then it is possible to use KNN
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...?
You want to apply Scale befor train test split
I am planning to take the mentorship program. Should I enroll it now or wait for the next batch?
Don't buy
waiting
Rs 10,000
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. 🙏🏻🙏🏻
Can we use KNN for Clustering ?
no
Please reply
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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?
watch this playlist from the start. specially 34 video. it'll definitely help you.
bhaiya ekh dum sexy lecture h kya samjhaya h
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