Applications of Linear Classifiers in Images and Text

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Applications of Linear Classifiers in Images and Text

July 13 @ 6:30 pm - 8:30 pm EDT

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](http://linkedin.com/in/joseph-s-50398b136)
[Richard Ye, IBM Data Science Intern](linkedin.com/in/richard-ye)
[Cindy Huang, IBM Data Science Intern](https://www.linkedin.com/in/cindy-shih-ting-huang/)

**Note:** This will be an online event. It is recommended that you [Register](https://ibm.webex.com/ibm/j.php?RGID=ref92c9e45b5c474ff7d0c60cd916bb7b) 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.