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Joan Kusuma
Jul 4, 20232 min read
Day 10: Summary of Regression with Multiple Variables
Vectorization When implementing a learning algorithm, using vectorization will both make our code shorter and make it run much more...
Jun 30, 20232 min read
Day 9: Feature Engineering and Polynomial Regression
Feature Engineering Feature Engineering: using intuition to design new features, by transforming and/or combining original features The...
Jun 27, 20234 min read
Day 8: Feature Scaling and learning rate
Feature 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 min read
Day 7: Gradient Descent for multiple linear regression
Today, we will put together what we've previously learned to implement gradient descent for multiple linear regression using...
Jun 23, 20233 min read
Day 6: Multiple Linear Regression
Previously, we looked at a version of linear regression with only one feature, today, we're going to explore linear regression with more...
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