Uploaded August 2026 | Updated September 2026, 2 weeks ago

---

Machine Learning: Data Preprocessing in ML
Topics discussed:
1. Data Preprocessing in ML:
▪️Handling Missing Values (Imputation)
▪️Handling Outliers (Keep, Cap, or Remove)
▪️Feature Scaling (Standardization)
▪️Categorical Encoding (One-Hot Encoding)
3. Data Leakage.

✧✧ Playlist ✧✧
Machine Learning Playlist: youtube.com/playlist?list=PLBlnK6fEyqRi-VHKpqEQNIjotoP-e9lht

✧✧ Support & Contribution ✧✧
Contribute: nesoacademy.org/donate
Memberships: youtube.com/channel/UCQYMhOMi_Cdj1CEAU-fv80A/join

✧✧ Socials ✧✧
Instagram ► instagram.com/nesoacademy
Discord ► discord.gg/hhW2NJucQD
WhatsApp ► whatsapp.com/channel/0029Va9B1Bq4tRru0nqgtx3h
Twitter [X] ► https://x.com/nesoacademy

✧✧ Main Presence ✧✧
Website ► nesoacademy.org
App ► play.google.com/store/apps/details?id=org.nesoacademy

✧✧ Resources ✧✧
Books: nesoacademy.org/recommended-books

✧✧ Credits ✧✧
Music:
1. Axol x Alex Skrindo - You [NCS Release]

#MLByNeso #MachineLearning #MLPipeline