Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet: Multiplicative Seasonality, Outliers,

The video tutorial covers the use of the Profit library for time series forecasting. It begins with setting up the environment and preparing the data. The initial model is built with additive seasonality, and its limitations are discussed. The tutorial then explores multiplicative seasonality and log transformation to improve model accuracy. Finally, it addresses handling outliers by removing them to enhance prediction confidence.

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