Programme

WEB SESSION

17 - 20 Apr 2023

Non-Life Pricing Using Machine Learning Techniques with R Appl.

Monday, 17 April 2023

09:00 - 10:30 Data Selection, Pre-Analysis and Feature Selection (data quality, pre-
treatment, missing values, feature engineering and feature selection)
Overfitting and cross-validation
Example: Data Analysis and filtering
10:30 - 10:45 Break
10:45 - 12:30 Reminders and Q&A about regression tree models
How to fit a machine learning model
Example: Fitting a regression tree and random forest on frequency

Tuesday, 18 April 2023

Wednesday, 19 April 2023

Thursday, 20 April 2023

09:00 - 10:30 Profitability analysis: profitability and positioning assessment with ML techniques
Example: profitability analysis with regression trees
10:30 - 10:45 Break
10:45 - 12:30 Competition analysis: understanding competitors prices
Example: Reverse engineering of competitors prices
Client behaviour and Elasticity
Subject to modifications.
All the above times are given in CEST (Central European Summer Time).

Seminar Details

Programme

CPD Credits

Participant Feedback

4.4 of 5 Points

Sponsor

PREMIUM Sponsor of the Event