Machine Learning with Python

Students may still enroll if they missed the 1st class session. However, they need to communicate with the instructor via Canvas and catch up on all missed work prior to the 2nd class meeting.

This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.

To see all meeting dates, click "Full Schedule" below.

Electronic Course Materials: You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.

Required Text: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow; Aurelien Geron; O'Reilly Media Inc.; 2022. ISBN: 9781098122461

Recommended Text: Python Data Science Handbook; Jake VanderPlas; O'Reilly Media Inc.; 2023. ISBN: 9781098121228

Machine Learning with Python Cookbook; Gallatin and Albon; O'Reilly Media Inc.; 2023. ISBN: 9781098135690

Introduction to Machine Learning with Python; Muller and Guido; O'Reilly Media Inc.; 2023. ISBN: 9781449369897

This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.

To see all meeting dates, click “Full Schedule” below.

Electronic Course Materials: You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.

Required Text: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow; Aurelien Geron; O'Reilly Media Inc.; 2022. ISBN: 9781098122461

Recommended Text: Python Data Science Handbook; Jake VanderPlas; O'Reilly Media Inc.; 2023. ISBN: 9781098121228

Machine Learning with Python Cookbook; Gallatin and Albon; O'Reilly Media Inc.; 2023. ISBN: 9781098135690

Introduction to Machine Learning with Python; Muller and Guido; O'Reilly Media Inc.; 2023. ISBN: 9781449369897

This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.

To see all meeting dates, click "Full Schedule" below.

You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.

Required Textbook: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow; Aurelien Geron; O'Reilly Media Inc.; 2022. ISBN: 9781098122461

Recommended Textbooks: 

Python Data Science Handbook; Jake VanderPlas; O'Reilly Media Inc.; 2023. ISBN: 9781098121228

Machine Learning with Python Cookbook; Gallatin and Albon; O'Reilly Media Inc.; 2023. ISBN: 9781098135690

Introduction to Machine Learning with Python; Muller and Guido; O'Reilly Media Inc.; 2023. ISBN: 9781449369897