drewm8080/machine-learning-

Projects from Machine Learning Class ITP 449

ITP 449 - Applications of Machine Learning

This is a repository dedicated to practicing machine learning through the class ITP 449 -- Applications of Machine Learning. This is a class taken in the Viterbi School of Engineering at the University of Southern California.

Course Description

This course seeks to give students a solid foundation in machine learning and prepare them for a career in data science. Unlike traditional courses, there is a strong emphasis on career development in the form of open-source contributions, public writing, and informal interviews with data science professionals. By the end of the course students should be ready to attain a data science job.

Course Content

• Python
• Pandas
• NumPy
• Time Series Data
• Data Visualization
• Linear Regression
• Logisitic Regression
• Decision Trees
• Random Forests
• Ensemble Methods
• Neural Networks