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Stock Prices Prediction Project
course content

Course Content

Stock Prices Prediction Project

Stock Prices Prediction Project

IntroductionImport Necessary Libraries and DataPreliminary ExplorationLet's Plot the Evolution of a Single StockAdd Multiple Stocks to a Single PlotCheck the Consistency of the DataProphetProphet FitPredictions Using ProphetPlot the Results

bookProphet Fit

We fit the model by instantiating a new Prophet object. Any settings to the forecasting procedure are passed into the constructor. Then you call its .fit() method and pass in the historical dataframe. Fitting should take 1-5 seconds.

Task

  1. Import Prophet from prophet;
  2. Initialize the Prophet object;
  3. Pass the historical DataFrame to the method.

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We fit the model by instantiating a new Prophet object. Any settings to the forecasting procedure are passed into the constructor. Then you call its .fit() method and pass in the historical dataframe. Fitting should take 1-5 seconds.

Task

  1. Import Prophet from prophet;
  2. Initialize the Prophet object;
  3. Pass the historical DataFrame to the method.

Mark tasks as Completed
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 8
AVAILABLE TO ULTIMATE ONLY
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