Finance, Investing, Time Series Analysis, Time Series Forecasting, Technical Analysis.
correct format, and now we need to intialise and fit our model. m = Prophet(daily_seasonality=True) m.fit(df_prophet) You will notice that I set “daily_seasonality” to True. In Prophet, the “daily_seasonality” parameter is used to model daily patterns in time series data, crucial for forecasting