The prerequisites for this project are prior programming experience in Python and a basic understanding of machine learning theory. By the time you complete this project, you will be able to build a logistic regression model using Python and NumPy, conduct basic exploratory data analysis, and implement gradient descent from scratch. ![]() The aim of this project and is to implement all the machinery, including gradient descent, cost function, and logistic regression, of the various learning algorithms yourself, so you have a deeper understanding of the fundamentals. In this project, you will do all the machine learning without using any of the popular machine learning libraries such as scikit-learn and statsmodels. Welcome to this project-based course on Logistic with NumPy and Python.
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