Machine Learning Resources

How to mitigate overfitting?

Overfitting can be mitigated by reducing model complexity, adding regularization, doing feature selection, getting more training data, and performing cross validation

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What is Overfitting?

Overfitting occurs when a machine learning model becomes too complex and starts fitting the training data too closely thereby leading to poor performance on new, unseen data.

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