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GitHub / AmbarChatterjee / FDS_HW2
Interactive exploration of logistic regression, multinomial classification, and transfer learning using Python and Jupyter Notebooks in the context of data science education.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AmbarChatterjee%2FFDS_HW2
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 3.61 MB
Dependencies:
0
Created: 4 months ago
Updated: 4 months ago
Last pushed: 4 months ago
Last synced: 4 months ago
Topics: cifar-10, data-science, educational-material, gradient-ascent, jupyter-notebook, logistic-regression, machine-learning, multinomial-classification, python, transfer-learning
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