DSC 340 Applied Machine Learning
This course provides hands-on experience applying machine learning techniques to real-world problems. Students will engage with the data analytics lifecycle, including formulating the problem, preparing data, model building, and evaluation. With the help of computational toolkits, participants will apply various methods such as classification, regression, clustering, and deep learning. Students will also learn how to analyze and assess results and to present their work orally and in writing with the help of data visualization tools.