The 'life_expectancy' dataset from kaggle was used to construct various linear regression machine learning models. This initially involved exploratory data analysis to gain insights about the dataset, finding useful aggregate statistics by countries and creating informative visualisations. Linear regression models were then trained based on various different features of the dataset. Using featur engineering techniques the best model was found, based on their R^2 values, demonstrating how much of the variation in data the model described.
-
Notifications
You must be signed in to change notification settings - Fork 0
The 'life_expectancy' dataset from kaggle was used to construct various aggregate statistics, visualisations and linear regression models to see how life expectancy changed based on different features.
paddywardle/Life-expectancy-linear-regression-project---Rstudio
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
The 'life_expectancy' dataset from kaggle was used to construct various aggregate statistics, visualisations and linear regression models to see how life expectancy changed based on different features.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published