Name: Bhargavi Hanumant Alandikar

1. CONTENTS OF THE PACKAGE

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Time_Series.py - Contains Python code to predict the sale quantity for given data product_distribution_training_set.txt - Contains Training Data set output.txt - Contains Predictions result README - Details about the package

2. SYSTEM REQUIREMENTS

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Following softwares should be installed on system: python interpreter

3. COMPILATION AND EXECUTION

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python Time_Series.py

4. DESCRIPTION

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• A time series is a series of data points indexed (or listed or graphed) in time order.
• Time series forecasting is the use of a model to predict future values based on previously observed values. 
• SARIMA model - Seasonal Auto-Regressive Integrated Moving Average model.
• It is Most widely used forecasting methods for time series data forecasting.
• It supports the direct modeling of the seasonal component of the series.

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