Topics

Duration

32 Weeks

Progress

0/20

Learning Progress0%

AI Roadmap

Supervised Learning

Learning Path

Follow these concepts in order to master this topic.

What is Supervised Learning?

Regression vs Classification

Preparing Training Data

Linear Regression

Multiple Linear Regression

Logistic Regression

K-Nearest Neighbors (KNN)

Decision Trees

Random Forest

Support Vector Machines (SVM)

Naive Bayes

Gradient Boosting

XGBoost Basics

Feature Importance

Hyperparameter Tuning

Real-World Applications

Documentation

Official documentation and references.

Scikit-learn Supervised Learning

Recommended

XGBoost Documentation

Google ML Classification

Video Courses

Supervised Machine Learning

Classification & Regression Explained

Practice Websites

Practice what you've learned.

Kaggle Learn - Intro to Machine Learning

UCI Machine Learning Repository

OpenML

Projects

Apply what you've learned by building real projects.

House Price Prediction

Beginner

Customer Churn Prediction

Intermediate

Credit Card Fraud Detection

Advanced