Regression Analysis Applied on Different Datasets with Python and R

Data Science is a broad field which includes statistics, data analysis, and machine learning methods to analyze data and extract important information and understanding from the data. In recent years, many data scientists have been arguing about whether Python or R programming languages are better. This thesis I chose both of them and it explains the differences between two commonly used programming languages, Python and R, for coding algorithms to predict linear regression. My goal is to find coefficients by applying linear and multiple equations with three datasets. Using Python and R languages shows me which variables (in datasets) the regression line is better than the others and I have achieved my goal by showing special codes.