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What is ARIMA Model in Time Series Forecasting? In this video, we explain the ARIMA model (AutoRegressive Integrated Moving Average) in a simple and beginner-friendly way. ARIMA is one of the most widely used statistical models for time series analysis and forecasting, especially in finance, healthcare, sales prediction, and AI applications. You’ll learn: What time series data is Full form of ARIMA Meaning of AR (p), I (d), and MA (q) When and why ARIMA is used Real-world examples of ARIMA forecasting Difference between AR, MA, and ARIMA models This video is perfect for: Data Science beginners AI & Machine Learning students Python learners Professionals working with forecasting and analytics 📈 ARIMA is a foundation model — understanding it will help you learn advanced models like SARIMA, Prophet, and LSTM. 👉 Subscribe for more AI, Data Science, and Machine Learning explained simply.