Upgrade to Pro — share decks privately, control downloads, hide ads and more …

K-Nearest Neighbours

Sponsored · Ship Features Fearlessly Turn features on and off without deploys. Used by thousands of Ruby developers. →
Avatar for Charmi Chokshi Charmi Chokshi
April 09, 2020
Technology
120
0

K-Nearest Neighbours

Avatar for Charmi Chokshi

Charmi Chokshi

April 09, 2020

More Decks by Charmi Chokshi

See All by Charmi Chokshi
AI in Action
Avatar for Charmi Chokshi charmichokshi
0
340
The Intelligent Developer's Toolkit AI-Powered Tools for Creativity, Efficiency, and More
Avatar for Charmi Chokshi charmichokshi
0
180
ML Starter Pack
Avatar for Charmi Chokshi charmichokshi
0
240
Let's Dive into Deep Learning with TensorFlow
Avatar for Charmi Chokshi charmichokshi
2
360
Support Vector Machine
Avatar for Charmi Chokshi charmichokshi
2
190
Logistic Regression
Avatar for Charmi Chokshi charmichokshi
0
110
Linear Regression
Avatar for Charmi Chokshi charmichokshi
0
190
Introduction to Machine Learning
Avatar for Charmi Chokshi charmichokshi
0
180
ML on GCP: Design-Develop-Deploy
Avatar for Charmi Chokshi charmichokshi
0
270

Other Decks in Technology

See All in Technology
Agentic AI 時代のテスト手法: Kiro とはじめるプロパティベーステスト (AWS Summit Japan 2026 | DEV212)
Avatar for Hiroki Yamazaki ymhiroki
0
210
最近評価が難しくなった
Avatar for Mitsui maroon8021
0
220
プライバシー保護の理論と実践
Avatar for LINEヤフーTech (LY Corporation Tech) lycorptech_jp
PRO
1
240
フルカイテン株式会社 エンジニア向け採用資料
Avatar for FULL KAITEN fullkaiten
0
11k
依頼文化をやめる日 EM視点で語るPlatform EngineeringとInclusive SRE / Discussing Platform Engineering and Inclusive SRE from an EM's Perspective
Avatar for katsukamaru shin1988
3
2k
攻撃者がいなくてもAIエージェントはインシデントを起こす
Avatar for Nomizo Nomizo nomizone
0
200
“全部コピーしない”ファイルデータの活用 ： — FSx for ONTAP × S3 Tables × Icebergで作るメタデータカタログ
Avatar for Yoshiki Fujiwara yoshiki0705
0
450
はてなのサービス基盤を支える Kubernetes《足腰》
Avatar for masayosu masayoshimaezawa
0
440
【FinOps】データドリブンな意思決定を目指して
Avatar for kaita z63d
3
610
AI時代における最適なQA組織の作り方
Avatar for ymty ymty
3
370
Mastraエージェント、どのクラウドにデプロイする？
Avatar for みのるん minorun365
PRO
2
170
金融の未来を考える / Thinking About the Future of Finance
Avatar for Kenji Saito ks91
PRO
0
150

Featured

See All Featured
How to make the Groovebox
Avatar for あそなす asonas
2
2.3k
The Limits of Empathy - UXLibs8
Avatar for Cassini Nazir cassininazir
1
390
End of SEO as We Know It (SMX Advanced Version)
Avatar for Michael King ipullrank
3
4.2k
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
Avatar for Beat Signer signer
PRO
0
3.6k
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
Avatar for Joe Casabona jcasabona
34
2.8k
Navigating Weather and Climate Data
Avatar for Ryan Abernathey rabernat
0
270
The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs
Avatar for Ines Montani inesmontani
PRO
3
3.5k
Exploring anti-patterns in Rails
Avatar for Elle Meredith aemeredith
3
440
Self-Hosted WebAssembly Runtime for Runtime-Neutral Checkpoint/Restore in Edge–Cloud Continuum
Avatar for Yuki Nakata chikuwait chikuwait
0
640
JavaScript: Past, Present, and Future - NDC Porto 2020
Avatar for David Neal reverentgeek
52
6k
How Fast Is Fast Enough? [PerfNow 2025]
Avatar for Tammy Everts tammyeverts
3
640
Marketing Yourself as an Engineer | Alaka | Gurzu
Avatar for Gurzu gurzu
0
260

Transcript

  1. Welcome to the Covid Coding Program

  2. Let’s Start Basics of Machine Learning! I’m, Charmi Chokshi An

    ML Engineer at Shipmnts.com and a passionate Tech-speaker. A Critical Thinker and your mentor of the day! Let’s connect: @CharmiChokshi

  3. What you did today?

  4. I developed a new hobby!! reading personalities!!

  5. Tell me about your friends...

  6. None
  7. None
  8. None
  9. None
  10. None
  11. None
  12. None
  13. None
  14. None
  15. None
  16. None
  17. None
  18. None
  19. None

  20. What is the value of k here?

  21. And it’s a tieeeeee?

  22. Following are the 3 approaches to resolve this tie, 1.

    Keep on decreasing k by 1 till it resolves a tie 2. Feature weighting 3. Cross Validation
  23. None
  24. None

  25. Let’s Code it!! https://machinelearningmastery.com/tutorial-to-implement-k-nearest-neighbors-in-pyt hon-from-scratch/

  26. Thank You!