CE-COMP 2239 - Intro to Machine Learning and Data Science featuring Python

This hands on, project-based course aims to serve as a foundation for building real world applications with Machine Learning capabilities and as a starting point for a career as a well-rounded data practitioner.

The course focuses on key foundational concepts related to Data Science and Machine Learning using the Python programming language. Students will learn the foundations of problem solving, statistical algorithms, and machine learning models using Jupyter Notebooks within the Anaconda, Visual Studio Code, and Google Colab programming environments. Students will also learn the basics of SQL databases as data sources, as well as the Docker containerization platform for model deployment.

Students will implement experiments to solve various business problems using the Python programming language and machine learning algorithms included in the scikit-learn and Tensorflow libraries. These experiments are designed to satisfy predictive analytics requirements related to regression, classification, image recognition and natural language processing.

Location Remote