Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Python.
computations. If there present fewer dimensions then it leads to less computing. Also, dimensions can allow usage of algorithms unfit for a large number of dimensions. It takes care of multicollinearity that improves model performance. It removes redundant features. For example, there is no point