Question

Give two examples related to your discipline that you need to apply over sampling partitioning before building the model. You need to provide detail explanations

Answer 1

Sampling partioning is often carried out before building final model for analysis on sophisticated algorithms. For example, Customer segmentation is done first out of samples received and analysis based on particular traits or location ot attributes is done to derive drill down approach and resukts with accuracy

Similarly in building fhe right mix of promotional activities wr also samlle the data available form all stores and retail outlets to arrive at sales data of each retailer and subsequently arrive at best promotions mix anf pricing policy for each retailer to revive sales volumes.

Such circumstances thus create need of samlle partitioning for arriving at segmented and comprehensive analysis of particular dataset.