BizAcuity

APRIL 25, 2022

From 2009 to 2019, in a span of 10 years, the United States tripled its gross gaming revenue from $34.3 There is a need for a predictive analytics tool that can individually target each customer at right time to drive additional revenue. On analyzing long-term data, the model suggests optimized options for every dimension.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Domino Data Lab

APRIL 21, 2021

We’ll use a gradient boosting technique via XGBoost to create a model and I’ll walk you through steps you can take to avoid overfitting and build a model that is fit for purpose and ready for production. This is generally problematic, as the model trained on such data will have difficulties recognising the minority class.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade. See Ribeiro et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

JULY 9, 2019

Assessing whether a business stakeholder is trying to solve for a problem that is descriptive, predictive, or prescriptive and then re-framing the problem as supervised learning, unsupervised learning, or reinforcement learning, respectively. When he retired in 2009 he had some time on his hands. or a prescriptive model?

Data Science 112

Data Science Machine Learning Advertising Modeling 112