What Is Time Series Forecasting?

From anticipating equipment failures to optimizing airline schedules, time series forecasting helps you uncover patterns in data, make predictions, and make more informed decisions.

In this demonstration, you will explore:
How to prepare messy time series data
Key challenges such as missing values, trends, and seasonality
Signal processing with wavelets for complex patterns
Statistical methods such as regression and ARIMA
Machine learning techniques such as support vector regression
Deep learning methods such as LSTMs and transformers

No single approach works for every scenario. Throughout the demonstration, guidance is provided on what time series forecasting methods might work for your data. You’ll also learn about tools in MATLAB® that make it easy to experiment with different time series forecasting techniques.

Learn more:
   • Data Preprocessing with MATLAB  
   • Signal Analysis Made Easy with the Si...  

Related Resources:
What Is Time Series Analysis?: https://www.mathworks.com/discovery/t...
What Is Data Preprocessing?: https://www.mathworks.com/discovery/d...
What Is Data Cleaning?: https://www.mathworks.com/discovery/d...

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