I've some demand data, for which I wish to judge what will be the direction
in the forecast period (Up/Down). What will be a best ML method to do this?
Currently I'm using the data given below -
9/4/2016 241
9/11/2016 233
9/18/2016 226
9/25/2016 282
10/2/2016 291
10/9/2016 282
10/16/2016 308
10/23
a,data_merge_final,by.x= c("P_KEY",
"Active_Prod_Id"),by.y = c("P_KEY", "prod"),all.x=TRUE)
names(Final_data)[names(Final_data) == "weight"] <- "Proficiency_Score"
emerging_prod_mapping <- readRDS("5.Emerg
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