Machine Learning

ML algorithms, models, and practical implementation with Python

Units

Resources

Flow

Open Syllabus

Syllabus

Unit 1

ML Basics

Supervised, Unsupervised, Reinforcement

Unit 2

Regression

Linear, Polynomial, Evaluation

Unit 3

Classification

Decision Trees, SVM, Naive Bayes

Overview

Ye subject page direct study workspace ki tarah bana hai. Left side me syllabus yaad rahega, aur right side me har unit ka actual study access, questions, revision, aur MCQ links milenge.

Unit 1Live Study Access

ML Basics

Supervised, Unsupervised, Reinforcement

Unit 2Live Study Access

Regression

Linear, Polynomial, Evaluation

Unit 3Live Study Access

Classification

Decision Trees, SVM, Naive Bayes