Project is about analysing and predicting the happiness score of a country based on various featues such as Country/Region, GDP per capita, Social support, Healthy life expectancy, Freedom to make life choices, Generosity and Perceptions of corruption
Deliverables of the project:
- EDA
- Analysing variation of features through the years
- Correlation between various features and happiness score
- Correlation between features
- Pointing out some exceptions in the dataset
- Machine Learning models to predict the happiness score based on all the features
- WordCloud