Introduction to Machine Learning 6/9

Jul 14, 20231 min read

Day 15: Linear and Logistic regression with Scikit-Learn

Linear regression with Scikit-Learn import libraries: from sklearn.linear_model import SGDRegressor from sklearn.preprocessing import...

Jul 13, 20232 min read

Day 14: Gradient Descent for Logistic Regression

We have previously looked at gradient descent for linear regression. Today, we will look at gradient descent for logistic regression....

Jul 12, 20232 min read

Day 13: Cost Function for logistic regression

The 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 min read

Day 12: Decision Boundary

In 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...

Jul 5, 20232 min read

Day 11: Introduction to Classification

Classification with logistic regression Today, we will learn about classification, where your output variable y can take on only one of a...