Data Science, Machine Learning, Technology, Data, Dimensionality Reduction.
two, which is incredibly valuable when we want to train a model but aren’t sure what features to put into our model. This can be baffling, and that’s completely understandable. It’s truly brain-bending to say that we can capture most of our information with a fraction of the data — but we do have