Jul 19, 20231 minDay 16: OverfittingThe problem of overfitting Overfitting happens when the model or prediction fits the training set too well, but doesn't generalize well...
Jul 14, 20231 minDay 15: Linear and Logistic regression with Scikit-LearnLinear regression with Scikit-Learn import libraries: from sklearn.linear_model import SGDRegressor from sklearn.preprocessing import...
Jul 13, 20232 minDay 14: Gradient Descent for Logistic RegressionWe have previously looked at gradient descent for linear regression. Today, we will look at gradient descent for logistic regression....
Jul 12, 20232 minDay 13: Cost Function for logistic regressionThe cost function gives you a way to measure how well a specific set of parameters fits the training data, thereby gives you a way to...
Jul 6, 20231 minDay 12: Decision BoundaryIn logistic regression, decision boundary is a line that separates class A from class B let's take a look at an example: from the example...