Building Features from Numeric Data
This course exhaustively covers data preprocessing techniques and transforms available in scikit-learn, allowing the construction of highly optimized features that are scaled, normalized and transformed in mathematically sound ways to fully harness the power of machine learning techniques.
The quality of preprocessing that numeric data is subjected to is an important determinant of the results of machine learning models built using that data. With smart, optimized data pre-processing, you can significantly speed up model training and validation, saving both time and money, as well as greatly improve model performance in prediction.
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