This course explores both supervised and unsupervised machine learning projects. You'll apply regression models to estimate property prices based on features like location and size, and use classification models to predict customer churn. Additionally, you'll work with clustering models for customer segmentation and develop product recommendation systems based on usage patterns. It's designed for learners who prefer a practical, integrated approach to understanding machine learning techniques.
What you'll learn
Apply regression models to estimate property prices
Implement classification models to predict customer churn
Use clustering models for customer segmentation
Develop product recommendation systems using collaborative filtering
Course objectives
Gain practical experience with machine learning techniques
Understand the application of regression and classification models
Learn to group customers based on behavior
Explore the creation of personalized recommendation systems