## March 6, 2017

# Logistic Regression

This is the second in a series of posts in which I explore concepts in Andrew Ng’s Introduction to Machine Learning course on Coursera. In each, I’m implementing a machine learning algorithm in Python: first using standard Python data science and numerical libraries, and then with TensorFlow.
Logistic regression is similar to linear regression, but instead of predicting a continuous output, classifies training examples by a set of categories or labels.
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