Project Implementation of the concepts of: Missing Data and Survival Analysis on Varities of Democracy Data EDA Missing Data Analysis and Imputations using Imputation Methods: Predictive Mean Matching, Random Forest and Bayesian Linear Regression Survival Analysis: Data Cleaning, Data Visualization : Kaplan-Meier survival curves to understand how long the First leader and later on all the leaders of the country last!
Assignments include topics: Survival Analysis, Kaplan-Meier curve, Cox Proportional Hazard models, Gibbs Sampler, Metropolis-Hastings sampler, PCA - Principal Component Analysis, PCR - Principal Component Regression, PLS- Partial Least Squares Regression and Multiple Testing,