Data Science - Time Series Forecasting with Facebook Prophet in Python - (The Dangers of) Prophet for Stock Price Predic

The video tutorial explores the use of time series models for stock predictions, highlighting common mistakes found online. It guides through data preparation, model building, and evaluation using the Profit library. The tutorial addresses issues with seasonality and demonstrates how to improve model accuracy by adjusting settings. It also covers cross-validation and compares the model's performance with a naive forecast. Finally, it examines the use of log prices in modeling and concludes with insights on forecast errors.

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