June 27th Tech Talk: Machine Learning-Classification
Join CollabraSpace on June 27th at 4PM for a Tech Talk on Machine Learning: Classification, presented by team member Victor Allen.
At this tech talk we will discuss one of the main types of modeling families of supervised Machine Learning: Classification. For example, spam detection in email service providers can be identified as a classification problem. This is binary classification since there are only 2 classes as spam and not spam. A classifier utilizes some training data to understand how given input variables relate to the class. We also use classification models determine whether a customer is likely to purchase more items or not based on their buying patterns, web store browsing patterns etc.
In this class you will become familiar with classification model terminologies different types of classifiers and applicability to real world problems. After this lecture students will have access to a Jupyter Notebook, a real-world dataset, and step-by-step instructions to solve a machine learning classification problem. Students will focus on using best practices for classification, including train and test splits, and handling balanced data sets.
This Tech Talk will be available for in person and virtual. A Google calendar invite will be sent out to all registrants.
Please note that CollabraSpace will be recording this tech talk.
