4 Use cases Predict House Prices Using Regression Identify Profitable Customer Segments Using Random Forest Classification Customer Segmentation in Retail Using k-Means Clustering Forecast Future Sales Using Time Series Analysis Recommend Movies Using Association Rules Extract Features for Digit Recognition