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SALES Prediction Model

This process intends to predict sales information from timeseries.

This model was constructed based upon a market need and could be replicated to another scenarios for study cases.

At first, please run the install of the Requirements.txt file by: pip install -r Requirements.txt

After a sucessfull library install, go further this order of execution:

  1. ETL : Extraction and transformation of the data
  2. EDA : Exploratory data analysis
  3. MODEL : Featured engineered datasets to be deployed in the models

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Timeseries analysis - Study case of a small business using ARIMA,SARIMA and XGBoost models to predict stock based on sales.

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