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Forecasting customer traffic of a specific form of transportation using SEVEN different forecasting methods based on past traffic data and performing comparative analysis in terms of RMSE.

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README.md		README.md
Time series code.py		Time series code.py
Train_data.csv		Train_data.csv

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Time Series Forecasting methods used:

1.Naive Approach
2.Moving Average
3.Simple Exponential Smoothing
4.Holt's Linear trend model
5.Holt's Winter model
6.ARIMA model
7.SARIMA model

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Forecasting customer traffic of a specific form of transportation using SEVEN different forecasting methods based on past traffic data and performing comparative analysis in terms of RMSE.

time-series machine-learning-algorithms prediction series-forecasting comparative-analysis

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