Скачать или смотреть Why Do We Need Training And Test Sets For Time Series Data? - The Friendly Statistician

Why Do We Need Training And Test Sets For Time Series Data? Have you ever wondered why it's important to split your data into different parts when working with time series? In this video, we'll explain the reasons behind creating training, validation, and test sets for time-based data. We'll start by discussing how these sets help us evaluate the accuracy of our models and prevent common mistakes like overfitting. You'll learn why maintaining the natural order of data is essential in time series analysis and how random splits can lead to misleading results. We’ll also cover techniques like time series cross-validation that improve our understanding of a model’s stability over different periods. Additionally, we'll explain how to determine the right size for your test set based on the forecasting horizon, such as predicting sales for the upcoming weeks. Whether you're working on weather forecasts, financial data, or sales predictions, understanding how to properly split your data is key to building reliable models. Join us for this clear and straightforward explanation, and subscribe to our channel for more practical tips on data analysis and forecasting techniques.

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