A typical Regression Machine Learning project leverages historical data to predict insights into the future. This solution is aimed at predicting Life Expectancy rate of a country given various features.
The project tries to create a model based on data provided by the World Health Organization (WHO) to evaluate the life expectancy for different countries in years. The data offers a timeframe from 2000 to 2015. The data originates from here: https://www.kaggle.com/kumarajarshi/life-expectancy-who/data The output algorithms have been used to test if they can maintain their accuracy in predicting the life expectancy for data they haven’t been trained. Four algorithms have been used:
- Linear Regression.
- Ridge Regression.
- Lasso Regression.
- ElasticNet Regression.
This project is licensed under the MIT LICENSE.
https://node-red-wtxhd.eu-gb.mybluemix.net/ui
- Adarsh Pal adarshpal999@gmail.com