ML Algorithms - Quick Reference Guide

Struggling to understand which ML algorithm to choose?

This resource gives you a clear, structured view of major Machine Learning algorithms — all in one place.

Inside, you’ll find:

• Types of Learning (Supervised, Unsupervised, Deep Learning)
• Categories & Families of Algorithms
• Algorithms (from simple classics to widely used modern models)
• Primary Goal
• Real-world Use Cases
• Short, easy-to-grasp descriptions

This guide is designed to help:

• Students & beginners
• Job seekers preparing for ML/DS interviews
• Anyone confused about “what to apply when”

It’s a simplified, beginner-friendly breakdown created from my own learning and experience — meant to give you clarity at a glance.