rasvob/VSB-FEI-Fundamentals-of-Machine-Learning-Exercises
Jupyter notebooks for the Fundamentals of Machine Learning course that is held at FEI, VSB-TU Ostrava
This collection of Jupyter notebooks helps students and self-learners grasp core machine learning concepts through practical exercises. You'll work with various datasets, from basic tables to image-like data, and learn to apply techniques like data visualization, clustering, classification, and regression. The resource is designed for individuals learning the fundamentals of machine learning using Python.
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Use this if you are a student or an individual new to machine learning and want hands-on practice with common data science tasks and algorithms.
Not ideal if you are an experienced machine learning engineer looking for advanced research, production-ready code, or highly specialized algorithms.
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Jan 03, 2024
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