we have built a Facebook Prophet Machine learning model in order to forecast the price of Amazon 30 days into the future. We have utilised plotly express for data visualization and evaluated the forecast using google finance in google sheets. Further, we have automated the entire stock forecasting process, enabling instantaneous forecast for any preferred stock.
Created Facebook Prophet Model
from prophet import Prophet
m = Prophet()
m.fit(prophet_df)
Forecasting
future=m.make_future_dataframe(periods=30)
forecast=m.predict(future)
forecast Using Plotly for data visualization
px.line(forecast, x='ds', y='yhat')
figure=m.plot(forecast,xlabel='ds',ylabel='y')
figure2=m.plot_components(forecast)Downloading Forecasted Data
from google.colab import files
forecast.to_csv('forecast.csv')
files.download('forecast.csv')