Feature Engineering: Maximising Model Performance in Education

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This lecture will provide an in-depth exploration of Feature Engineering, a crucial step in the machine learning workflow that significantly affects model performance. Initially, we will discuss the importance of features and the role that data plays in enhancing model accuracy. We'll then categorize data into numerical and categorical types, understanding their characteristics. The session covers basic preprocessing techniques like handling missing data, cleaning, and scaling. Advanced...