Data Science With R Education Department in the US Worksheet

project 1Problem Statement:An education department in the US needs to analyze the factors that influence the admission of a student into a college.Analyze the historical data and determine the key drivers. Analysis information:Predictive ? Run logistic model to determine the factors that influence the admission process of a student (Drop insignificant variables) ? Transform variables to factors wherever required ? Calculate accuracy of the model ? Try other modeling techniques like decision tree and SVM and select a champion model ? Determine the accuracy rates for each model ? Select the most accurate model ? Identify other Machine learning or statistical techniques that can be usedDescriptive ? Categorize the grade point average into High, Medium, and Low (with admission probability percentages) and plot it on a point chart. ? Cross grid for admission variables with GRE Categorization is shown below:GRE Categorized 0-440 Low 440-580 Medium 580 + HighVariables in the Dataset:project 2