#BiasVarianceTradeOff #Overfitting #UnderFitting #MachineLearning #DataAnalytics #DataScience

Bias Variance Trade off is an important concept when it comes to choosing a machine learning algorithm for you problem. Bias is the expectation in error and variance is the variability in the model.

In this tutorial we look at why we need bias variance trade off, how it effects the accuracy and how to optimally select bias and variance and avoid over fitting and under fitting conditions.


For all Ipython notebooks, used in this series : [ Ссылка ]

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