Case Study: stuffmart.com Customer Conversion
TL;DR Background This case study focuses on predicting customer conversion in the online retail space using real-world customer behavior data and enhancing these predictions with the Dark Matter algorithm. Customer conversion is crucial for business success, directly impacting revenue, growth, and competitiveness, with strategies like A/B testing fostering continuous improvement and innovation. Results We’ve improved […]
Case Study: Banking Customer Churn Prediction
TL;DR Background “Churn” refers to the rate at which customers halt their business with a company. This case study focuses on predicting churn in the banking industry using real-world data and enhancing predictions with the Dark Matter algorithm. Results We’ve improved the accuracy of churn predictions, reducing unnecessary business decisions for customers who aren’t at […]
Case Study: Kinase Cancer Inhibitor Dataset & Performance
Background When selecting a dataset for a case study in biotech, it was important to find something unique to the domain. Ideally, we utilize a task with many and sparse features, difficult to discern signal-to-noise ratio, and a small number of examples. These are key characteristics of this dataset of cancer inhibitor protein interactions. How […]
