Moving Average (MA) Model in Python | Step-by-Step Time Series Forecasting Tutorial

Moving Average (MA) Model in Python | Step-by-Step Time Series Forecasting Tutorial

In this video, you will learn the Moving Average (MA) time series model from scratch using Python.
This tutorial clearly explains MA vs AR vs ARIMA and shows how to build a pure MA model using real data.

✅ What you will learn in this video:

What is the Moving Average (MA) model

Difference between MA, AR, and ARIMA

When to use MA models in time series forecasting

How to select MA order using ACF plot

Stationarity testing using ADF test

Building MA(2) model in Python using statsmodels

Model diagnostics and residual analysis

Forecasting future values and why MA forecasts become flat

🧠 Hands-On Python Tutorial:

We use daily coffee sales data and walk through the complete code line by line, making this video perfect for:

Beginners in time series analysis

Data science students

Machine learning practitioners

This video is part of a complete Time Series Forecasting playlist covering:
AR, MA, ARIMA, SARIMA, ARIMAX, and SARIMAX.

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🌐 Connect With Me

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🔹 Twitter (X):   / statswire  

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