Jul 5, 20232 minDay 11: Introduction to ClassificationClassification with logistic regression Today, we will learn about classification, where your output variable y can take on only one of a...
Jul 4, 20232 minDay 10: Summary of Regression with Multiple VariablesVectorization When implementing a learning algorithm, using vectorization will both make our code shorter and make it run much more...
Jun 30, 20232 minDay 9: Feature Engineering and Polynomial RegressionFeature Engineering Feature Engineering: using intuition to design new features, by transforming and/or combining original features The...
Jun 27, 20234 minDay 8: Feature Scaling and learning rateFeature Scaling Feature scaling is a technique that will enable gradient descent to run faster. let's start by taking a look at the...
Jun 26, 20233 minDay 7: Gradient Descent for multiple linear regressionToday, we will put together what we've previously learned to implement gradient descent for multiple linear regression using...