Data Structures: Time Series Data Explained Simply
Автор: Practical stats
Загружено: 2026-01-14
Просмотров: 22
Описание:
Welcome to this deep dive into Time Series Analysis! In the world of data, a Time Series is the "movie" of a single variable, allowing us to see not just where we are, but where we are likely going.
This video covers the fundamental concepts you need to master:
Decomposition: Understanding the plot (Trend, Seasonality, Cyclical movements, and Noise).
Statistical Rigor: Why Stationarity is crucial and how Differencing is used to achieve it.
Autocorrelation: Measuring the relationship between a value and its past (Lag plots, ACF).
Smoothing: Filtering noise to reveal the trend (Moving Average, Golden Cross).
Volatility: Understanding non-constant variance (Heteroscedasticity).
Forecasting: Building powerful models like ARIMA, LSTMs, and Facebook’s Prophet.
Time series analysis transforms chaotic numbers into a coherent narrative. Master the "movie" of your data to anticipate change and predict the future!
(References: Box & Jenkins, Hyndman, Gujarati, Brockwell & Davis)Etiquetas (Tags) -
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
