Data Science with Python : K-Nearest Neighbour Algorithm

[prathimacode-hub]

Welcome to 'DSWP' Team, good to see you here

This issue will helps readers in acquiring all the knowledge to learn about getting involved with K-Nearest Neighbour Algorithm. Tutorial to K-Nearest Neighbour Algorithm and how it's applied using visual representations and sample code.

To get assigned to this issue, add your serial numbers mentioned in the spreadsheet of "Data Science with Python", the approach one would follow and choice you prefer (Documentation, Audio, Video). You can go with all three or any number of options you're interested to work on.

This issue is created for beginners and who aren't assigned to any issues yet.

If you had referred any resources, add them up in "DS Resources". Similarly if you had used datasets, include them in "DS Datasets".

Domain : Machine Learning

Mentors Assigned : Dhruv Bajaj / Jivitesh Jain

Points to Note :

The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.

"Issue Title" and "PR Title should be the same. Include issue number along with it.

Changes should be made inside the Datascience_With_Python/ directory & Datascience_With_Python branch.

Follow Contributing Guidelines & Code of Conduct before start Contributing.

This issue is only for 'GWOC' contributors of 'DSWP' domain.

All the best. Enjoy your open source journey ahead. 😎

[Malvikakaushal2001]

Malvika Kaushal Serial Number : 853 Contribution : Documentation Approach : Definition , Algo , How does it work, Examples

[vanshika230]

I would like to work on this. Vanshika Mishra Batch - 5 Type: Documentation Approach: 1 Definition and explaination of theory 2 Application of Knn - data analysis required, query point, knn algorithm

3. prediction with example

[prathimacode-hub]

Issue is assigned to @Malvikakaushal2001 for documentation.

[IshaDagar]

@prathimacode-hub I would like to work on this. Name: Isha Dagar Serial Number : 545 Contribution : Documentation Approach : Definition , building and evaluating model , examples and applications

[Subhrato20]

I would like to be assigned to work on it. Name:- Subhrato Som Batch:- 9 Serial Number:- 322 Contribution Type:- Documentation Approach:- Introduction to K-NN, How it works, Step by step process of building models with it, Applications of K-NN, A prediction model example.

[rachita11]

Name - C. Rachita serial number: 767 Contribution type: Documentation Approach: Theory explanation, code snippets and visualization.

[BhaswatiRoy]

I want to contribute to this issue :
Name-Bhaswati Roy
Domain-Data Science with Python Batch-19
Serial No-787 Type-Audio Issue Number-731 Contribution Approaches-knn concept, formula used in knn, principal of proximity, used for supervised learning, why called lazy learner

[Praannjaal]

I would like to contribute to this issue Name: Pranjal Mittal Batch: 19 Type: DOCUMENTATION Approach: Definition , working , building model step by step , full detailed explanation , examples

[prathimacode-hub]

@vanshika230 @rachita11 @IshaDagar @Subhrato20 @Praannjaal, you can chose audio / video

[deepthi1107]

Hello, I am Deepthi M with serial number:172, Batch-5. I would like to do video on this issue. my approach: detail explanation

[prathimacode-hub]

Issue assigned to @deepthi1107 for video contribution

[ashish-reddy-20-08]

@prathimacode-hub , Can you please assign me Audio mam. Name: M. Ashish Batch: 5 Approach: A detailed explanation with example.

[prathimacode-hub]

Issue assigned to @ashish-reddy-20-08 for audio contribution

[kjpavs]

I would like to contribute to this issue Name: K J Pavithra Batch: 7 Type: Audio (+ppt) Approach: explanation, algorithm for knn for both categorical and numerical data with example

[ashish-reddy-20-08]

@prathimacode-hub, Mam I am ready with the matter if the earlier PR which I created Is merged I will upload this pr immediately.