In the previous lesson, we learned about the theory behind binary classification and logistic regression for machine learning. We learned how to classify an object based on some training examples learned before.
In this lesson, we will understand how logistic regression works and how we can implement it. In other words, we will see a classification in machine learning example using logistic regression.
Watch the video version of the 7th lesson:
Download the Python code at the link below (lesson7-code):
https://github.com/mecharithm/ML-first-steps-course.git
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