Data Science - Time Series Forecasting with Facebook Prophet in Python
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- 大小
- 552.1 MB
- 文件数
- 17
- 分类
- 视频
- 热度
- 7
- 最近活跃
- 2 天前
文件列表
- Chapter 3 Facebook Prophet/009. (The Dangers of) Prophet for Stock Price Prediction.mp463.2 MB
- Chapter 1 Welcome/002. Outline.mp414.4 MB
- Chapter 2 Time Series Basics/001. Time Series Basics Section Introduction.mp422.8 MB
- Chapter 2 Time Series Basics/002. Forecasting Metrics.mp433.5 MB
- Chapter 2 Time Series Basics/003. The Naive Forecast and the Importance of Baselines.mp433.3 MB
- Chapter 2 Time Series Basics/004. Walk-Forward Validation.mp429.0 MB
- Chapter 2 Time Series Basics/005. Suggestion Box.mp417.8 MB
- Chapter 3 Facebook Prophet/001. How Does Prophet Work.mp432.5 MB
- Chapter 3 Facebook Prophet/002. Prophet Code Preparation.mp449.2 MB
- Chapter 3 Facebook Prophet/003. Prophet in Code Data Preparation.mp439.1 MB
- Chapter 3 Facebook Prophet/004. Prophet in Code Fit, Forecast, Plot.mp437.9 MB
- Chapter 3 Facebook Prophet/005. Prophet in Code Holidays and Exogenous Regressors.mp447.0 MB
- Chapter 3 Facebook Prophet/006. Prophet in Code Cross-Validation.mp431.6 MB
- Chapter 3 Facebook Prophet/007. Prophet in Code Changepoint Detection.mp428.5 MB
- Chapter 3 Facebook Prophet/008. Prophet Multiplicative Seasonality, Outliers, Non-Daily Data.mp446.4 MB
- Chapter 1 Welcome/001. Introduction.mp412.1 MB
- Chapter 3 Facebook Prophet/010. Prophet Section Summary.mp413.8 MB