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GitHub / JeffWang0325 / Microsoft-DAT275X-Principles-of-Machine-Learning-Python-Edition

In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JeffWang0325%2FMicrosoft-DAT275X-Principles-of-Machine-Learning-Python-Edition

Stars: 1
Forks: 1
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 7.4 MB
Dependencies parsed at: Pending

Created at: over 3 years ago
Updated at: about 1 year ago
Pushed at: over 3 years ago
Last synced at: about 1 year ago

Topics: artificial-intelligence, azure, data-analysis, data-classification, data-cleaning, data-visualization, machine-learning, microsoft, model-performance, python, supervised-machine-learning, unsupervised-machine-learning

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