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Data Science - Time Series Forecasting with Facebook Prophet in Python
- Date: 2026-04-03
- Size: 552 MB
- Files: 17
File Name
Size
Chapter 3 Facebook Prophet/009. (The Dangers of) Prophet for Stock Price Prediction.mp4
63 MB
Chapter 1 Welcome/002. Outline.mp4
14 MB
Chapter 2 Time Series Basics/001. Time Series Basics Section Introduction.mp4
23 MB
Chapter 2 Time Series Basics/002. Forecasting Metrics.mp4
34 MB
Chapter 2 Time Series Basics/003. The Naive Forecast and the Importance of Baselines.mp4
33 MB
Chapter 2 Time Series Basics/004. Walk-Forward Validation.mp4
29 MB
Chapter 2 Time Series Basics/005. Suggestion Box.mp4
18 MB
Chapter 3 Facebook Prophet/001. How Does Prophet Work.mp4
32 MB
Chapter 3 Facebook Prophet/002. Prophet Code Preparation.mp4
49 MB
Chapter 3 Facebook Prophet/003. Prophet in Code Data Preparation.mp4
39 MB
Chapter 3 Facebook Prophet/004. Prophet in Code Fit, Forecast, Plot.mp4
38 MB
Chapter 3 Facebook Prophet/005. Prophet in Code Holidays and Exogenous Regressors.mp4
47 MB
Chapter 3 Facebook Prophet/006. Prophet in Code Cross-Validation.mp4
32 MB
Chapter 3 Facebook Prophet/007. Prophet in Code Changepoint Detection.mp4
28 MB
Chapter 3 Facebook Prophet/008. Prophet Multiplicative Seasonality, Outliers, Non-Daily Data.mp4
46 MB
Chapter 1 Welcome/001. Introduction.mp4
12 MB
Chapter 3 Facebook Prophet/010. Prophet Section Summary.mp4
14 MB