Stock Prices Prediction Project

Contenu du cours

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.

Tâche

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.

Solution

Mark tasks as Completed

Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous

Tout était clair ?

Merci pour vos commentaires !

Section 1. Chapitre 9

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Contenu du cours

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.

Tâche

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.

Solution

Mark tasks as Completed

Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous

Tout était clair ?

Merci pour vos commentaires !

Section 1. Chapitre 9

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