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DSA × ML: Build It From Scratch

55 minutes admin 13 views Internal

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Overview

DSA × ML: Build It From Scratch

Implement decision trees, KNN, and linear models from zero

Prerequisites

Python fundamentals (classes, functions, list comprehensions)
NumPy basics (arrays, broadcasting, vectorized operations)
ML fundamentals (train/test split, accuracy, loss functions)

Learning Outcomes

Implement a Decision Tree classifier from scratch using only Python
Build a KNN classifier with NumPy vectorized operations
Code logistic regression via gradient descent without sklearn
Compare all three models head-to-head on the same dataset
Connect every data structure (array, tree, graph, hashmap) to its ML equivalent through working code

Tutorial Info

Type Interactive

Difficulty Beginner

Duration 55 minutes

Provider Internal

Published Mar 29, 2026

Last Updated Jun 03, 2026