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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
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: <a target="_blank" href="https://github.com/facebookresearch/Kats/blob/main/tutorials/kats_201_forecasting.ipynb" color="blue">github.com/facebookresear…</a>
2. Detection Kats incorporates: - Changepoint Detection - Outlier (Anomaly) Detection - Trend Detection See example: <a target="_blank" href="https://github.com/facebookresearch/Kats/blob/main/tutorials/kats_202_detection.ipynb" color="blue">github.com/facebookresear…</a>
3. TSFeature Extraction Kats enables users to extract meaningful information from time series that can be used for similarity and machine learning. See example: <a target="_blank" href="https://github.com/facebookresearch/Kats/blob/main/tutorials/kats_203_tsfeatures.ipynb" color="blue">github.com/facebookresear…</a>
Learn more here: <a target="_blank" href="https://facebookresearch.github.io/Kats" color="blue">facebookresearch.github.io/Kats</a>
A new role is emerging: The Generative AI Data Scientist Companies like Walmart, Meta, NVIDIA, Amazon, Home Depot, and Verizon are actively hiring for this role now. This is how to prepare:
On Wednesday, March 12th, I'm hosting a new Generative AI for Data Scientists workshop. 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): <a target="_blank" href="https://learn.business-science.io/ai-register" color="blue">learn.business-science.io/ai-register</a>
