Topics

Duration

32 Weeks

Progress

0/20

Learning Progress0%

AI Roadmap

Machine Learning Fundamentals

Learning Path

Follow these concepts in order to master this topic.

What is Machine Learning?

AI vs Machine Learning vs Deep Learning

Types of Machine Learning

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Machine Learning Workflow

Features & Labels

Training, Validation, & Testing Sets

Bias & Variance

Overfitting

Underfitting

Feature Engineering Basics

Introduction to ML Algorithms

Choosing the Right Algorithm

Real-World Machine Learning Applications

Documentation

Official documentation and references.

Scikit-learn User Guide

Recommended

Google Machine Learning Crash Course

IBM Machine Learning

Video Courses

Machine Learning Explained

Machine Learning Full Course

18h

Practice Websites

Practice what you've learned.

Kaggle Learn - Intro to Machine Learning

Google ML Crash Course

UCI Machine Learning Repository

Projects

Apply what you've learned by building real projects.

Predict Student Performance

Beginner

House Price Prediction

Intermediate

End-to-End Machine Learning Pipeline

Advanced