TSG405/Applied-Machine-Learning-in-Python

This Repo contains - Starter files, Coursework, Programming Assignments for the course --> Applied Machine Learning in Python, University of Michigan [COURSERA]

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This collection of files and assignments helps students learn and practice core machine learning techniques using Python. It provides all the necessary code and problem sets to understand concepts like data dimensionality, clustering, and building predictive models. The intended users are students and aspiring data scientists taking the University of Michigan's 'Applied Machine Learning in Python' Coursera course.

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Use this if you are enrolled in the University of Michigan's 'Applied Machine Learning in Python' Coursera course and need the official course materials and programming assignments.

Not ideal if you are looking for a standalone machine learning library or a detailed statistical explanation of machine learning algorithms rather than practical application materials.

machine-learning-education data-science-training python-programming-practice predictive-modeling-exercises data-clustering-practice
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Jupyter Notebook

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BSD-3-Clause

Last pushed

Oct 10, 2021

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