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Daily Archives: April 25, 2019

Data Wrangling for Higher Prediction Accuracy

Imagine you’re dealing with the forecasting of sales for a retailer with limited data availability (which is, sadly, quite often the case), and you need to extract maximum value from the data to provide the retailer with the highest-quality piece … Read more »