Discover how to use advanced techniques in R, including fitting various machine learning models, data cleaning, and visualisations to understand the drivers of mortality in this end to end walkthrough of mortality modelling.
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If you’re looking to learn how to utilise advanced applications of R in an insurance context, this course is ideal for you. An individual subscription gives you 3 months’ online access to:
As Well As
Our Industry and Actuartech Resource Libraries which feature curated additional content to assist you on your data science journey.
You can also request to access to a coding project to practice the skills you learn in this course.
This course guides students through an end-to-end walkthrough of various approaches to modelling mortality rates using machine learning algorithms and packages within R. The aim of this case study is to understand the drivers behind mortality through regression analysis and to balance fitting accuracy with smoothness. The models fitted include GLMs, GAMs, and gradient boosting machines.
We guide the student through importing, cleaning, investigating, modelling, visualising, and interpreting data using Notebooks with code and explanations embedded. We also investigate the appropriateness of various factors in the dataset and aim to create a smoothed mortality rate with respect to age.
If you're not already familiar with R, we recommend that you start with our Foundations in R course.
Chapter 1 introduces the data science pipeline and defines the problem we wish to investigate.
Chapter 2 sees us performing a preliminary analysis and feature engineering, and we outline any packages we may need going forward.
In Chapter 3 we utilise machine learning techniques to solve the problem we’ve identified and we test alternative models after improving the models fitted.
In Chapter 4 we interpret, validate, and report on the results of the models and their effectiveness in solving our identified problem.
We also make use of visualisation techniques throughout.
We have tailored packages available to ensure that corporate teams have the option to attend structured live lessons by our tutors, and the option to request a practical assignment and bespoke feedback. Invoicing option available.
