Level 2 AIML

3 / 1 / 2025

marvel_rep_l3

1. DECISION TREES

Learnt about Decision Tress and how it works. Learnt how a tree consists of root node, parent node, decision node, leaf node, etc. Also learnt about pruning and splitting. Also learnt about ID3 algorithm and how it works.

Link to colab file

2. NAIVE BAYES

Learnt about what Naive Bayes is, how it works. Got a small recap of Bayes Theorem, from third sem, unit 5 maths 😭 Then, implemented it from scratch on a diabetes dataset. Link to colab file