Machine Learning Unit 3 One Shot aktu

https://drive.google.com/file/d/10D6WrCkIyUwywkdkrgwLr_aXSAyt_f6S/view?usp=sharing
In this video, we provide a ONE SHOT COMPLETE LECTURE of
🤖 MACHINE LEARNING – UNIT 3 for AKTU B.Tech 3rd Year students.

This lecture is specially designed for:
✅ AKTU exam preparation
✅ One shot revision
✅ Easy explanation of algorithms
✅ Topics repeatedly asked in previous year exams

🔹 UNIT 3 TOPICS COVERED:
• Decision Tree Learning:
– Decision Tree Learning Algorithm
– Inductive Bias
– Inductive Inference with Decision Trees
– Entropy and Information Theory
– Information Gain
– ID3 Algorithm
– Issues in Decision Tree Learning
• Instance-Based Learning:
– k-Nearest Neighbour (k-NN) Learning
– Locally Weighted Regression
– Radial Basis Function (RBF) Networks
– Case-Based Learning

📌 This ONE SHOT lecture is:
✔ Highly exam-oriented
✔ Algorithm + numerical focused
✔ Very important for 10–15 mark questions

🎯 Suitable for B.Tech CSE / IT 3rd Year students (AKTU).

📥 FREE NOTES are provided for this unit.

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