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GitHub / nin-ran-jan / SML-Assignments
The place where I started ML (and kind of loved it). Contains introductions and implementations of important state-of-the-art concepts in the ML domain like Gaussian probability theory, LDA, PCA, FDA, Feed Forward Neural Networks, Autoencoders, Decision Trees, etc. Course was taken by Dr. A V Subramanyam.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nin-ran-jan%2FSML-Assignments
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 347 MB
Dependencies:
0
Created: about 2 years ago
Updated: over 1 year ago
Last pushed: about 2 years ago
Last synced: about 1 year ago
Topics: fda, keras, lda, machine-learning, pca, python, sklearn
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