sbeignez/MITx-6.86x-Machine-Learning
MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning
This is a collection of notes and project work from a machine learning course. It covers topics from basic linear models to deep learning and unsupervised methods. It takes course materials and lecture notes as input, and provides structured study aids and practical code examples as output. This resource is for students or self-learners who are studying machine learning concepts and want supplementary materials.
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Use this if you are taking a machine learning course, specifically MITx 6.86x, and need a well-organized set of notes and project examples.
Not ideal if you are looking for a standalone, production-ready machine learning application or a simple, non-technical explanation of ML concepts.
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Feb 10, 2022
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