majacaci00/data-science-projects

This is a sample of the data science projects I have been working on my own. The Zika Project, is an extensive analysis of microcephaly cases related to Zika in Brazil. This case study tries to explain how weather conditions from January 2015 to May 2016, projected 2015 and 2016 total population of men and women within a reproductive age (15- 44), prevalence of microcephaly cases, growth rate of microcephaly, and sanitation and demographic characteristics of the 27 Brazilian states have influenced the increase of microcephaly confirmed reported cases linked to zika from February 2016 to May 2016. To describe and report variables/features with greater emphasis on microcephaly, the study uses linear regression, lasso and ridge regression, regression trees, random forest regression and gradient boosting regressor. This is analysis unveils what factors other than elevation and runners split's strategy are better predictors of finishing within the top 15 male and female runners of the 2016 Boston Marathon In this short analysis explains, I used a expanded version of the mincer equation and find that marital status, gender, student's province of residence and country where student pursued his/her postgraduate studies are complementary features to explain the return of income/investement.