Ever wondered how Netflix knows what you want to watch next?
Or how Gmail catches spam before you even see it?
The answer is Machine Learning — and in this video, you'll finally
understand how it actually works from the ground up.
In this session (P2.2.1 — ML Foundations), we cover:
→ Why rule-based AI fails at scale
→ What Machine Learning actually is (in plain English)
→ Your first ML model in Python — live coding from scratch
→ ML basic workflow
→ The 3 types of ML: Supervised, Unsupervised, Reinforcement
→ Key terms decoded: Features, Labels, Training, Inference
No fluff. No theory overload. Just clean concepts + real code.
Python to GenAI course — built for developers who want to
understand AI from the inside out.
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🔔 Subscribe so you don't miss the next session
👍 Like if this finally made ML click for you
💬 Drop your questions below — I read every one
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📁 GitHub https://github.com/MaighaInc/pycore/tree/main/Course-GenAIFoundation/P2_LegacyToGenAI/P2.2_ML%20Foundations
💬 Discord https://discord.com/invite/V35dKcApS6
