LSTM application for time series forecasting
dataframe = pandas.read_csv('flight_data.csv', usecols=[1], engine='python')
Dataframe Structure
Total
0 57,633,352
1 53,866,781
2 59,723,147
3 52,758,886
4 49,450,152
... ...
198 86,957,560
199 92,269,298
200 95,532,607
201 99,069,561
202 95,936,298
203 rows × 1 columns
Run Following two files to get results
python flight_forecast.py
python dexuseu_forecast.py
Results
- Blue graph represents the original data
- Orange graph represents forecasting on training data
- Green graph represent the forecasting on testing data