Machine Learning, Logistics Regression, Logistic Regression Model, Logistic Regression, Regularization.
process involves reducing the magnitude of the values of the theta’s. This allows us move from ‘overfitting’ to ‘just right’. In essence we are applying a regularisation parameter (lambda) to each theta and reduces them as we calculate each one. This then has the effect of smoothing out the