Time Series Forecasting with Machine Learning

About this event

Time series forecasting occurs when you make scientific predictions based on historical time stamped data. It involves building models through historical analysis and using them to make observations and drive future strategic decision-making.

In this workshop, we will be utilising Python, Tensorflow and Sktime to devise effective and efficient models for forecasting from data.  


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