CSC 295 - Topics in: Machine Learning Using Advanced Python (3 CR.) This course introduces machine learning concepts, and techniques for solving related problems using advanced Python. Students will learn fundamental techniques such as supervised and unsupervised learning, model evaluation, and data preprocessing. The course will cover key Python libraries, including Scikit-Learn, Pandas, and Matplotlib, to implement and analyze machine learning models. Through hands-on projects, students will gain practical experience in applying machine learning to real-world problems. No prior machine learning experience is required, but familiarity with Python programming is recommended. Lecture 3 hours. Total 3 hours per week.
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