mdeff/ntds_2016
Material for the EPFL master course "A Network Tour of Data Science", edition 2016.
This collection of practical exercises and assignments helps you learn fundamental concepts and tools in data science, machine learning, and deep learning. You'll work with various datasets to practice data acquisition, exploration, exploitation, and visualization. This material is designed for students or practitioners looking to build foundational skills in data analysis and predictive modeling.
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Use this if you are a student or aspiring data scientist who wants to gain hands-on experience with data science workflows, machine learning algorithms, and deep learning techniques.
Not ideal if you are looking for an off-the-shelf application to solve a specific business problem without needing to learn the underlying methods.
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MIT
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May 29, 2020
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