πŸ“ˆ Tired of spending countless hours fine-tuning statistical models for Time Series Forecasting?

πŸ§™#Prophet can help!



#MachineLearning #DataScience #Python #TimeSeries #AI #ML
Prophet is an open-source library developed by Facebook that simplifies the process for analysts and non-experts alike!
πŸ” With traditional techniques such as:

πŸ”Ή Exponential Smoothing

adjusting parameters for accurate performance requires in-depth knowledge of underlying models...
But Prophet uses an additive regression model with:

πŸ”Ή non-linear trends

πŸ”Ή yearly, weekly, and daily seasonality

πŸ”Ή important events or holidays
Some of its key #advantages are:

πŸ”ΉIt is lightning-fast, thanks to its implementation in the C++-based statistical programming language Stan, Prophet

πŸ”ΉIt can handle missing data, outliers, and trend shifts with ease

πŸ”Ή user-friendly procedure for tweaking models
Whether you're a seasoned analyst or just starting out, Prophet makes time series forecasting more accessible and efficient than ever before.

You can discover more in this week's #article. In which we focus on the modeling of the Trend component.
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