Getting Started with Time Series Forecasting in Python
English | 2022 | h264, yuv420p, 1920x1080 | 48000 Hz, 2channels | Duration: 33m | 116 MB
English | 2022 | h264, yuv420p, 1920x1080 | 48000 Hz, 2channels | Duration: 33m | 116 MB
Introductory lesson on time series forecasting in Python. Marco Peixeiro explores the random walk model, MA(q) and AR(p) models. Throughout the lesson, he explores the foundational concept of stationarity, and learn how to use the ACF and PACF plots for forecasting.