R Studio project on Bank Marketing

Data Cleaning Plan: requires significant cleaning before it is used. Data Integration Plan: multiple data sources, or if you intend to move your data set in to a database or data warehouse Data Selection Plan select attributes from your data set for performing further analysis use data mining tools to determine attributes should be or use a more complex technique to transform the data, such as principal component analysis. Data Mining Plan: perform (classification, clustering, outlier analysis, regression, mining association rules Pattern Evaluation Plan: perform an analysis on the results from the data mining step (for instance, cross validation, visualization)