Applications of Linear Classifiers in Images and Text

This is the second part of a multi-part hands-on meetup session. Please note that each session is independent of the previous session.

In this meetup session, you will learn almost everything you need to know about creating a Machine learning pipeline with linear classifiers. In particular, we will demonstrate how you can use Support Vector Machines (SVM's) to classify image data and logistic regression to classify text data and more!

Together, we will use the SK-learn package from Python, which has implemented both algorithms we aim to use. We will use this package to build a Machine Learning pipeline, including data analysis, data pre-processing, hyper-parameter selection, model training, and model validation within a Jupyter Notebook.

Instructor:
Joseph Santarcangelo, Data Scientist, IBM
Richard Ye, IBM Data Science Intern
Cindy Huang, IBM Data Science Intern

Note: This will be an online event. It is recommended that you Register for the event at https://ibm.webex.com/ibm/j.php?RGID=ref92c9e45b5c474ff7d0c60cd916bb7b to receive a calendar invitation and reminder for the session. We look forward to having you join us.