Case Study: Lapse Rate Analysis
For those confident in R looking to learn how to use R in a practical insurance context, this course is for you. This is a practical case study into applying machine learning to predict policyholder lapses.
1.1 - Introduction
1.2 - Business Context
1.3 - Overview of the Lapse Study
2.1 - Introduction
2.2 - Overview of Business Tasks and Models
2.3 - Overview of the Data
2.4 - Relevant R Packages
2.5 - Conclusion
3.1 - Introduction
3.2 - Preliminary Analysis
3.3 - Feature Engineering
3.4 - Conclusion
Project Instructions
Project Template
4.1 - Introduction
4.2 - Standard Multiple Linear Regression Models
4.3 - CART Models
4.4 - Advanced Regression Tree Models
4.5 - Conclusion
5.1 - Introduction
5.2 - Visualisation
5.3 - Merits of the Models
5.4 - Recommendations
5.5 - Conclusion
Introducing R
Introducing RStudio
Introducing Jupyter Notebooks
RStudio Sandbox (Optional IDE to run code)
RStudio Helpful Guide
Data Importing Helpful Guide
dplyr Helpful Guide
ggplot Helpful Guide