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.

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