Feature Selection: Choosing the Right Features for Your Machine Learning Algorithm

Sometimes, less is more

Why should we select some features and ignore the rest? Isn’t having more features good for the accuracy of our model?

Choosing the right features, and ignoring unsuitable ones, is a vital step in any machine learning project. This can result in good model performance and save you time down the line. It can also help you interpret the output of your model more …

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