Forecasting is important and sometimes difficult. In this session, we will demonstrate a statistical method for forecasting a time series using Python code. We will also talk about general forecasting problems and solutions in weather, epidemics, and finance. The webinar would cover Python from an application's point of view.
Key points of discussion
: Setting up a time series in Python
: Forecasting with Exponential Smoothing
: Forecasting with ARIMA
: Comparing forecasts
: Prophet and GluonTS
: Weather forecasting and algorithmic trading
Who should attend
Developers, Software Engineer, Analyst, Data Analyst
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