Time Series Forecasting With Prophet
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Learn time series forecasting with Prophet. Explore how to model and predict future values using Prophet’s easy-to-use algorithm, ideal for business forecasting, financial analysis, and planning in fields such as sales and energy consumption.
At a Glance
In this project, we will use the Prophet open source library to predict the power consumption in India for next year. Prophet is designed to automatically find a good set of hyperparameters for the model with skilful forecasts and data with trends and seasonal structure by default.
Why you should do this Guided Project
Prophet is open source software released by Facebook’s Core Data Science team. You can download prophet from CRAN and PyPI.
It can be implemented in Python as well as R language.
A Look at the Project Ahead
- Perform basic Time Series Analysis.
- Visualise Time Series Data Using Plotly Library.
- Train a Facebook’s open source Prophet model.
- Evaluate Prophet model with MAE(Mean Absolute Error).
What You’ll Need
This course mainly uses Python and JupyterLabs. Although these skills are recommended prerequisites, no prior experience is required as this Guided Project is designed for complete beginners.
Frequently Asked Questions
Everything you need to complete this project will be provided to you via the Skills Network Labs and it will all be available via a standard web browser.
What web browser should I use?
The Skills Network Labs platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.
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