Day 35: 60 days of Data Science and Machine Learning Series
Principal Component Analysis with a project..
Dimensionality is the number of input variables or features for a dataset and dimensionality reduction is the process through which we reduce the number of input variables in a dataset. A lot of input features makes predictive modeling a more challenging task.
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