Information Technology - Fund of Applied Data Analytics

Catalog description

In this course you will develop your data science skills while solving real-world problems. Students will work through the data science process and use unsupervised learning to explore data, engineer and select meaningful features, and solve complex supervised learning problems using tree-based models. Students will also learn to apply hyperparameter tuning and cross-validation strategies to improve model performance.