Category Useful

Feature engineering is a process in which raw data is transformed into features that can be used in machine learning models. This can involve a variety of techniques, such as transforming raw data into more useful representations, combining multiple features…

Principal component analysis (PCA) is a dimensionality reduction technique that is commonly used in data analytics. It is a way of identifying the underlying structure in a dataset by finding the directions of maximum variance in the data. These directions,…