What this book covers
Chapter 1, Analyzing Insurance Severity Claims, shows how to develop a predictive model for analyzing insurance severity claims using some widely used regression techniques. We will demonstrate how to deploy this model in a production-ready environment.
Chapter 2, Analyzing and Predicting Telecommunication Churn, uses the Orange Telecoms Churn dataset, consisting of cleaned customer activity and churn labels specifying whether customers canceled their subscription or not, to develop a real-life predictive model.
Chapter 3, High-Frequency Bitcoin Price Prediction from Historical and Live Data, shows how to develop a real-life project that collects historical and live data. We predict the Bitcoin price for the upcoming ...
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