Awesome

awesome-timeseries

Forecasting, anomaly detection, predictive analytics, econometrics and much more

General

• 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

Tools

• 4 Best Time Series Databases To Watch in 2019

Timescaledb

• Tutorial: Time-Series Forecasting

Influxdb

• Forecasting with FB Prophet and InfluxDB
• How to use InfluxDB’s built-in multiplicative Holt-Winters function to generate predictions on time series data

Prophet

• Quick Start

• Predicting the ‘Future’ with Facebook’s Prophet

  Forecasting Medium’s statistics using Facebook’s Prophet Library

• Forecasting in Python with Facebook Prophet

  How to tune and optimize Prophet using domain knowledge to add greater control to your forecasts.

• Forecasting with Prophet 🔭

  How to make high quality forecasts

• The Math of Prophet

  Breaking down the Equation behind Facebook’s open-source Time Series Forecasting procedure

• Time Series Forecasting with Prophet

  Learn how to use Facebook’s Prophet to predict air quality

Issues

• Prophet for Intermittent demand forecasting
• Working with data of many 0s and 1s and very few 2,3 and 4s

ELK

• Analyzing the past and present

Misc

• Champange sales forecasting
• https://github.com/MaxBenChrist/awesome_time_series_in_python