Practical Predictive Modeling with Python Webinar Video

Predictive models are used for everything from predicting if a customer will buy more products to identifying patients at high risk of readmission. The purpose of this workshop is to show you how, using labeled data, you can create, train, and implement a predictive model in production.

If you’ve been reading books and blog posts on machine learning and predictive analytics and are still left wondering how to create a predictive model in Python and apply it to your own data, this presentation will give you the steps and code you need to do just that.

Included in the download is a text file with a link to the Github repository containing the code and Jupyter Notebooks from the presentation.