A Practical Approach to Timeseries Forecasting Using Python - Projects to Be Covered

This course covers three projects: COVID-19 predictions using machine learning, stock prediction with RNNs, and birth rate forecasting using deep learning. Each project involves data preprocessing, visualization, and model implementation, with a focus on making data stationary and comparing model performances.

Explain the significance of feature engineering in the stock prediction project.

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What are the key components of the birth rate forecasting project mentioned in the course?

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