Use case 6 : Churn Prediction

Advanced Machine Learning and Custom Code in Dataiku DSS

In this tutorial, you will learn how to embed your own machine learning algorithms in Dataiku DSS, leveraging its ability to integrate easily external libraries and programs. To build a predictive model to find likely churners in a telecom dataset, we will implement machine learning using the following libraries:

In the end, you should be able to use complex arbitrary code in Python, R, or Shell to implement custom machine learning models using cutting-edge algorithms

Duration: 2h + all you can program

Your Instructor


Frequently Asked Questions

When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

Get started now!