Uploaded July 2026 | Updated September 2026, 3 weeks ago

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Machine Learning: Machine Learning Pipeline
Topics discussed:
1. Machine Learning Pipeline:
i. Problem Definition
ii. Data Collection
iii. Basic Data Cleaning
iv. Data Splitting
v. Data Preprocessing and Feature Engineering
vi. Selecting Algorithm
vii. Model Training
viii. Model Evaluation and Pipeline Saving
ix. Making Predictions
x. Monitor and Iterate.

✧✧ 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
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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