Feb. 14, 2024, 4:40 p.m. | Niharika Singh

MarkTechPost www.marktechpost.com

One of the main hurdles in achieving high forecast accuracy is dealing with data with multiple seasonality patterns. This means that the data might show variations daily, weekly, monthly, or yearly, making it tricky to predict future trends accurately. Some tools and libraries are already available to address this issue. They work by analyzing the […]

The post Meet MFLES: A Python Library Designed to Enhance Forecasting Accuracy in the Face of Multiple Seasonality Challenges appeared first on MarkTechPost.

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