Machine learning, model evaluation, Python tooling, and the science of extracting insight from complex datasets.
Overfitting is when your model learns the training data so well that it memorizes the noise along with the signal. It is the machine learning equivalent of cramming for an exam.
In most real-world machine learning projects, the biggest performance gains do not come from switching algorithms. They come from better features.
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