Time Series forecasting and linear regression modelling of currency price action
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Updated
Jan 29, 2022 - Jupyter Notebook
Time Series forecasting and linear regression modelling of currency price action
A popular and widely used statistical method for time series forecasting is the ARIMA model. It is one of the most popular models to predict linear time series data. This model has been used to predict the electricity price for Spain Market.
Times_Series_Analysis_with_ARIMA
An R/Shiny application created to help users practice ARIMA time series modelling. Hosted on AWS EC2.
Timeseries Analysis of Dallas zipcodes based on forcasted ROI
Time Series forecasting and linear regression modelling of currency price action.
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