Description
Time-series data, a sequence of data points indexed in time order, holds valuable insights into past trends and future behaviors. Think stock prices, weather patterns, or website traffic – these data streams tell a story that unfolds over time. But before you can unleash the power of AI on this dynamic data, it needs to be carefully prepared.
This carousel guides you through the essential steps of preparing time-series data for machine learning. We’ll explore techniques to handle unique characteristics like trends, seasonality, and autocorrelation, empowering your AI models to make accurate forecasts and uncover hidden patterns in the flow of time.
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