An Autoregressive Integrated Moving Average, or ARIMA, is a statistical analysis model that uses time series data to either better understand the data set or to predict future trends.

Market Basket Analysis is one of the key techniques used by large retailers to uncover associations between items. It works by looking for combinations of items that occur together frequently in transactions. To put it another way, it allows retailers to identify relationships between the items that people buy.

Finding and comparing accuracy of Random Forest, Gradient Boosting Model and Support Vector Machine

Created full Linear linear model and Reduced linear model and performing ANOVA