Transform raw data into powerful forecasts with Pythonβlearn time-series modeling, regression, real-world forecasting.
What you will learn
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Time-series concepts, notations, and use cases. Data loading, preprocessing, and feature engineering using Python.
Visualizing time-series data for insights. Forecasting using AR, MA, ARIMA, and SARIMA models.
Handling seasonality and trend components in data. Performing train-test splits and model validation correctly.
Applying linear regression (simple and multiple) for forecasting. Interpreting regression outputs and evaluating model accuracy.
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