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ARIMA.ipynb
ARIMA.ipynb
 
 
ARIMA.py
ARIMA.py
 
 
DS_Pipeline.py
DS_Pipeline.py
 
 
GARCH.ipynb
GARCH.ipynb
 
 
GARCH.py
GARCH.py
 
 
LSTM.py
LSTM.py
 
 
README.md
README.md
 
 
TS_ML.py
TS_ML.py
 
 

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This repository consists of the implementation of popular Time Series models in python using off the shelf econometric techniques, conversions of time series forecasting to supervised ML models and examples

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How do traditional Time series models hold up to Machine Learning techniques when Time Series forecasting is transformed to a supervised learning problem?

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