Machine Learning in Python
The World Happiness Report numerates the happiness index by country with a number of factors considered. I utilized Machine Learning techniques to conduct further analysis to explore the level of impacts. After cleaning and training our dataset, I ran a multi-regression analysis and created a happiness formula to better explain the correlations among the happiness factors and happiness score. Seven of these factors have a more significant impact on happiness score, and freedom and life expectancy were the factors that had the biggest impact, and generosity has a surprisingly smaller effect on happiness score. The correlations among those factors are all positive as well, which explains the existence of ripple effects These possible gaps among countries on the happiness index can be expected to vary depending on the inputs/factors involved.
