https://github.com/srj101/future_prediction_facebook_prophet

https://github.com/srj101/future_prediction_facebook_prophet

Last synced: 17 days ago
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• Host: GitHub
• URL: https://github.com/srj101/future_prediction_facebook_prophet
• Owner: srj101
• Created: 2023-07-16T10:12:30.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-07-16T10:19:20.000Z (almost 2 years ago)
• Last Synced: 2025-04-22T12:12:59.972Z (17 days ago)
• Language: Jupyter Notebook
• Size: 2.95 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# future_prediction_facebook_prophet

steps to use Prophet and output them in markdown:

Import the necessary libraries and modules:

# Python

import pandas as pd

from prophet import Prophet

Read the data into a pandas DataFrame:

# Python

df = pd.read_csv('example.csv')

Instantiate a Prophet object:

# Python

m = Prophet()

Fit the model with the historical data:

# Python

m.fit(df)

Create a future DataFrame for making predictions:

# Python

future = m.make_future_dataframe(periods=365)

Make predictions using the Prophet model:

# Python

forecast = m.predict(future)

Plot the forecast:

# Python

fig1 = m.plot(forecast)

Plot the forecast components:

# Python

fig2 = m.plot_components(forecast)

Find more details and options in the Prophet documentation.