<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Forecasting on DATATWEETS</title><link>https://datatweets.com/tags/forecasting/</link><description>Recent content in Forecasting on DATATWEETS</description><generator>Hugo</generator><language>en</language><copyright>Copyright (c) 2026 Datatweets</copyright><lastBuildDate>Tue, 14 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://datatweets.com/tags/forecasting/index.xml" rel="self" type="application/rss+xml"/><item><title>Build and Backtest a Seasonal Naive Forecast in Python</title><link>https://datatweets.com/tutorials/seasonal-naive-forecast-python/</link><pubDate>Tue, 14 Jul 2026 00:00:00 +0000</pubDate><guid>https://datatweets.com/tutorials/seasonal-naive-forecast-python/</guid><description>A beginner-friendly forecasting workflow that turns a weekly pattern into a useful baseline, tests it on later dates, and explains what the result can and cannot predict.</description></item></channel></rss>