Predictive Sales Analytics: Use Machine Learning to Predict and Optimize Product Backorders
If we take a look at the distribution of the target, train_raw_df$went_on_backorder, we see that the data set is severely imbalanced. We’ll need a strategy to balance the data set if we want to get maximum model performance and efficiency. # Unbalanced data set train_raw_df$went_on_backorder %>% table() %>% prop.table() ## . ## No Yes ## 0.993309279 0.006690721 We can also inspect missing values.
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Time Series Analysis for Business Forecasting with Artificial Neural Networks
