Combating the curse of dimensionality

Methods to reduce dimensions of your dataset to reduce overfitting and speed up the process

When you are working with high dimension data, you are more likely to encounter problems like overfitting, longer computation times, and/or ambiguous insights. In this article, we will explore some methods for dimensionality reduction in high dimension data. But before that, let’s talk about a few things that are important to understand before getting deeper into dimensionality reduction.

There …

data science dimensionality-reduction feature engineering machine learning python