Python has crazy forecasting libraries.
Let me introduce you to Kats, by Meta (Facebook)
Kats is a toolkit to analyze time series data and a lightweight, easy-to-use, and generalizable framework to perform time series analysis. It covers:
- Forecasting
- Detection
- Feature Extraction
- Simulation
- Forecasting
- Detection
- Feature Extraction
- Simulation
1. Forecasting
Kats integrates popular models like ARIMA, Prophet, Holt Winters, and VAR.
Kats also has functions for ensemble models and multivariate forecasts.
See example: github.com/facebookresear…
Kats integrates popular models like ARIMA, Prophet, Holt Winters, and VAR.
Kats also has functions for ensemble models and multivariate forecasts.
See example: github.com/facebookresear…
2. Detection
Kats incorporates:
- Changepoint Detection
- Outlier (Anomaly) Detection
- Trend Detection
See example: github.com/facebookresear…
Kats incorporates:
- Changepoint Detection
- Outlier (Anomaly) Detection
- Trend Detection
See example: github.com/facebookresear…
3. TSFeature Extraction
Kats enables users to extract meaningful information from time series that can be used for similarity and machine learning.
See example: github.com/facebookresear…
Kats enables users to extract meaningful information from time series that can be used for similarity and machine learning.
See example: github.com/facebookresear…
Learn more here: facebookresearch.github.io/Kats
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This is how to prepare:
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Inside, I'll share one of my BEST AI projects: A Time Series Forecasting AI Agent.
You'll learn the skills needed to become a GenAI DS.
👉Register here (500 seats): learn.business-science.io/ai-register
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