Introduction to Machine Learning in Python

This professional training course will introduce some of the common methods and terminologies used in machine learning research. It will cover areas such as data preparation and resampling, model building, and model evaluation. You don’t need any prior knowledge to attend this course.

Materials & Recordings:

All materials used in this course is on this GitHub page.

• Workshop 1 recording - 20240724_ML_Recording1.mp4
• Workshop 2 recording - 20240731_ML_Recording2.mp4
• Workshop 3 recording - 20240807_ML_Recording3.mp4
• Workshop 4 recording - 20240814_ML_Recording4.mp4
• Workshop 5 recording - 20240822_ML_Recording5.mp4

If you have trouble accessing the recording, please email  Jiajia Liu