Forecasting, anomaly detection, predictive analytics, econometrics and much more
- Forecasting: Principles and Practice
- Time series of counts
- Time series data mining techniques and applications
- 3 facts about time series forecasting that surprise experienced machine learning practitioners.
- Seasonality in Python: additive or multiplicative model?
- How to forecast sales with Python using SARIMA model
- Time Series: why do we need Stationarity and Ergodicity
- Machine Learning for Time Series Data
- How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls, The sequel
- Building a real-time anomaly detection system for time series at Pinterest
- Forecasting with FB Prophet and InfluxDB
- How to use InfluxDB’s built-in multiplicative Holt-Winters function to generate predictions on time series data
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Predicting the ‘Future’ with Facebook’s Prophet
Forecasting Medium’s statistics using Facebook’s Prophet Library
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Forecasting in Python with Facebook Prophet
How to tune and optimize Prophet using domain knowledge to add greater control to your forecasts.
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How to make high quality forecasts
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Breaking down the Equation behind Facebook’s open-source Time Series Forecasting procedure
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Time Series Forecasting with Prophet
Learn how to use Facebook’s Prophet to predict air quality