ADD 245 - Machine Learning with Python

3 Credits
Lecture: 2 Lab: 2

Machine Learning with Python provides practical training in building machine learning solutions using Python, catering to individuals interested in diverse fields such as large-scale commercial applications and research projects. With the immense availability of data today, the potential for machine learning applications is boundless. Rather than delving into the mathematical intricacies of algorithms, this course prioritizes the practical implementation aspects. You will gain a solid foundation in machine learning concepts, widely used algorithms, and their advantages and limitations. Additionally, you will learn how to represent processes using machine learning, including data selection, model evaluation, and parameter tuning. To streamline your workflow, we introduce the concept of the five points for training models. Text processing techniques and strategies for improving your machine learning and data science skills will also be covered. By the course’s end, you will possess the knowledge to create successful machine-learning applications using Python.

Prerequisite: ADD 160 with a grade of C or higher
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