This prediction is based on the problem statement, given by "Analytics Vidhya", in which based on many independent variables, we had to predict the outlet sales of the store. This prediction involved many processing, in order to proceed with the analysis. The steps included finding of missing data, checking the prominent dependency, filling out missing values depending on the type of value etc. Using XGBoost, the score came out to be 71%, and maximum value for r2_score was obtained to be 61%. These low values indicate low data in the dataset.
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This prediction is based on the problem statement, given by "Analytics Vidhya", in which based on many independent variables, we had to predict the outlet sales of the store.This prediction involved many processing, in order to proceed with the analysis. The steps included finding of missing data, checking the prominent dependency, filling out m…
GursahajKohli/BigMartSales
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This prediction is based on the problem statement, given by "Analytics Vidhya", in which based on many independent variables, we had to predict the outlet sales of the store.This prediction involved many processing, in order to proceed with the analysis. The steps included finding of missing data, checking the prominent dependency, filling out m…
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