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Data Science - Time Series Forecasting with Facebook Prophet in Python
大小 552.1 MB
文件数 17
Info Hash: 00F14B738D14DA0EBE0A786D4B8BEACD5D0DA67C
收录时间 2026-03-20 05:56:50
更新时间 2026-03-20 05:56:50
文件列表 (17)
Chapter 3 Facebook Prophet/009. (The Dangers of) Prophet for Stock Price Prediction.mp4
63.18 MB
Chapter 1 Welcome/002. Outline.mp4
14.38 MB
Chapter 2 Time Series Basics/001. Time Series Basics Section Introduction.mp4
22.77 MB
Chapter 2 Time Series Basics/002. Forecasting Metrics.mp4
33.53 MB
Chapter 2 Time Series Basics/003. The Naive Forecast and the Importance of Baselines.mp4
33.34 MB
Chapter 2 Time Series Basics/004. Walk-Forward Validation.mp4
29.03 MB
Chapter 2 Time Series Basics/005. Suggestion Box.mp4
17.77 MB
Chapter 3 Facebook Prophet/001. How Does Prophet Work.mp4
32.48 MB
Chapter 3 Facebook Prophet/002. Prophet Code Preparation.mp4
49.17 MB
Chapter 3 Facebook Prophet/003. Prophet in Code Data Preparation.mp4
39.1 MB
Chapter 3 Facebook Prophet/004. Prophet in Code Fit, Forecast, Plot.mp4
37.94 MB
Chapter 3 Facebook Prophet/005. Prophet in Code Holidays and Exogenous Regressors.mp4
46.99 MB
Chapter 3 Facebook Prophet/006. Prophet in Code Cross-Validation.mp4
31.64 MB
Chapter 3 Facebook Prophet/007. Prophet in Code Changepoint Detection.mp4
28.45 MB
Chapter 3 Facebook Prophet/008. Prophet Multiplicative Seasonality, Outliers, Non-Daily Data.mp4
46.38 MB
Chapter 1 Welcome/001. Introduction.mp4
12.11 MB
Chapter 3 Facebook Prophet/010. Prophet Section Summary.mp4
13.83 MB

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