Churn Modeling from A to Z
In this screencast, data scientist Ruslana Dalinina explores the business uses of churn modeling and explains how to build and implement churn models from start to finish.
Related Players
Jun-18-2018
GitHub Solutions Engineer Bryan Cross and DataScience.com Data Scientist Tuck Ngun demonstrate the benefits of using version co...
Version Control for Enterprise Data Science Teams
May-24-2018
In this webinar, The Data Incubator CEO Michael Li hosts DataScience.com CSO William Merchan where he shares lessons learned fr...
Building Data Science Capabilities That Scale
May-01-2018
In this live webinar, DataScience.com Lead Data Scientist Jean-René Gauthier and Plotly Cofounder and Dash Author Chris Parmer ...
Detecting IoT Network Intrusion With Plotly
Apr-16-2018
This webinar brings together thought leaders from General Assembly and BrightHive to lead an important discussion on the growin...
Why a Data Science Code of Ethics is Good for (Your) Business
Apr-03-2018
Learn how to better explain the results of your machine learning models to maximize the impact of your work in your organizatio...
Interpreting Machine Learning Models
Mar-08-2018
In this webinar, General Assembly Data Advocacy Lead Joseph Nelson and DataScience.com Chief Strategy Officer William Merchan g...
Managing Data Science (Before It Manages You)
Feb-05-2018
In this seminar, Data Scientist Tuck Ngun demonstrates how businesses can leverage natural language processing to mine reviews ...
Mining Customer Opinions
Dec-11-2017
In this seminar, Data Scientist Tuck Ngun provides an introductory look at content-based and collaborative filtering approaches...
Designing Recommendation Engines
Dec-08-2017
In part two of this webinar series on deep learning, offered in partnership with The Data Incubator, Data Scientist in Residenc...
Intro to Neural Nets in TensorFlow, Part II
Dec-06-2017
Platforms that combine data management and analytics capabilities with tools that extract business insights are currently a top...
