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Quarterly_Sales_Revenue

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  1. Quarterly_Sales_Revenue_model_v1_0.joblib +2 -2
  2. app.py +1 -2
  3. rf_tuned.pkl +2 -2
Quarterly_Sales_Revenue_model_v1_0.joblib CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:81efe944342e116df6f49a76e4f1bdf933905ef11576c7bb51bb6e3319570f90
3
- size 1515939
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3406edaa2e8189ce47f871c7180efab082b9c6592015a47d7f4f4027c07de1d7
3
+ size 1515443
app.py CHANGED
@@ -19,8 +19,7 @@ def predict_total_sales_by_store(store_ids, df, rf_tuned):
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  'Product_Id', 'Store_Id', 'Product_Type', 'Product_Sugar_Content',
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  'Store_Type', 'Store_Location_City_Type', 'Store_Size',
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  'Product_Weight', 'Product_Allocated_Area', 'Product_MRP',
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- 'Store_Establishment_Year', 'Total_Historical_Sales',
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- 'Num_Past_Transactions', 'Average_Historical_Sales'
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  ]
25
 
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  for store_id in store_ids:
 
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  'Product_Id', 'Store_Id', 'Product_Type', 'Product_Sugar_Content',
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  'Store_Type', 'Store_Location_City_Type', 'Store_Size',
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  'Product_Weight', 'Product_Allocated_Area', 'Product_MRP',
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+ 'Store_Establishment_Year'
 
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  ]
24
 
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  for store_id in store_ids:
rf_tuned.pkl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:81efe944342e116df6f49a76e4f1bdf933905ef11576c7bb51bb6e3319570f90
3
- size 1515939
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3406edaa2e8189ce47f871c7180efab082b9c6592015a47d7f4f4027c07de1d7
3
+ size 1515443