Workshop will be conducted in Zoom in PST time. Please register HERE in advance for this meeting.

As machine learning gains more and more popularity in science and technology in recent years, scikit-learn becomes one of the must-have libraries in the general machine learning toolbox. In this lecture we will present an in-depth introduction to scikit-learn python library. The 2-hour session will consist of 3 parts:

1. A high-level overview of scikit-learn’s major components and features.
2. A hands-on demonstration on using scikit-learn to solve Titanic Kaggle Challenge
3. Brief discussion on tools beyond scikit-learn: extension libraries and accelerations

Prerequisite knowledge for the workshop includes Python programming and basic machine learning concepts.

To register: https://ucla.zoom.us/meeting/register/tJModeyqqz0rHtASigJNCXQOrcroztOnGF9c

After registering, you will receive a confirmation email containing information about joining the meeting.

If you have any further questions regarding the workshop, please contact instructor Qiyang Hu.