Stock Prices Prediction Project

Kursusindhold

Stock Prices Prediction Project

Stock Prices Prediction Project

Introduction Import Necessary Libraries and Data Preliminary Exploration Let's Plot the Evolution of a Single Stock Add Multiple Stocks to a Single Plot Check the Consistency of the Data Prophet Prophet Fit Predictions Using Prophet Plot the Results

Predictions Using Prophet

Predictions are then made on a DataFrame with a column "ds" containing the dates for which a prediction is to be made. You can get a suitable DataFrame that extends a specified number of days into the future using the helper method Prophet.make_future_dataframe(). By default, it will also include the dates from the history, so we will see the model fit as well.

The predict() method will assign each row in the future a predicted value which it names "yhat". If you pass in historical dates, it will provide an in-sample fit. The forecast object here is a new DataFrame that includes a column "yhat" with the forecast and columns for components and uncertainty intervals.

Opgave

Swipe to start coding

Initialize a DF (with 365 days) where to store predictions using the make_future_dataframe() method;
Make the predictions;
Print the last five rows of this dataset.

Løsning

Mark tasks as Completed

Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder

Var alt klart?

Tak for dine kommentarer!

Sektion 1. Kapitel 9

Spørg AI

Spørg om hvad som helst eller prøv et af de foreslåede spørgsmål for at starte vores chat

Kursusindhold

Stock Prices Prediction Project

Stock Prices Prediction Project

Introduction Import Necessary Libraries and Data Preliminary Exploration Let's Plot the Evolution of a Single Stock Add Multiple Stocks to a Single Plot Check the Consistency of the Data Prophet Prophet Fit Predictions Using Prophet Plot the Results

Predictions Using Prophet

Predictions are then made on a DataFrame with a column "ds" containing the dates for which a prediction is to be made. You can get a suitable DataFrame that extends a specified number of days into the future using the helper method Prophet.make_future_dataframe(). By default, it will also include the dates from the history, so we will see the model fit as well.

The predict() method will assign each row in the future a predicted value which it names "yhat". If you pass in historical dates, it will provide an in-sample fit. The forecast object here is a new DataFrame that includes a column "yhat" with the forecast and columns for components and uncertainty intervals.

Opgave

Swipe to start coding

Initialize a DF (with 365 days) where to store predictions using the make_future_dataframe() method;
Make the predictions;
Print the last five rows of this dataset.

Løsning

Mark tasks as Completed

Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder

Var alt klart?

Tak for dine kommentarer!

Sektion 1. Kapitel 9

some-alt