GitHub / nishantdalvi05 / Support-Vector-Machine
SVMs are used in applications like handwriting recognition, intrusion detection, face detection, email classification, gene classification, and in web pages. This is one of the reasons we use SVMs in machine learning. It can handle both classification and regression on linear and non-linear data.
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Language: Jupyter Notebook
Size: 3.62 MB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: about 2 years ago
Pushed at: about 2 years ago
Last synced at: almost 2 years ago
Topics: anaconda-environment, jupyter-notebook, machine-learning, python, support-vector-machine