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GitHub / rupalshrivastava / Linear-and-Logistic-Regression-by-implementing-gradient-decent-algorithm

Segmentation GPU Kernel Performance Dataset. Data Set Characteristics: Multivariate Number of Instances: 241600 Area: Computer Attribute Characteristics: Integer Number of Attributes: 18 Date Donated 2018-02-27 Associated Tasks: Regression Missing Values: N/A Number of Web Hits: 23721

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rupalshrivastava%2FLinear-and-Logistic-Regression-by-implementing-gradient-decent-algorithm
PURL: pkg:github/rupalshrivastava/Linear-and-Logistic-Regression-by-implementing-gradient-decent-algorithm

Stars: 1
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 5.21 MB
Dependencies parsed at: Pending

Created at: over 5 years ago
Updated at: over 3 years ago
Pushed at: over 5 years ago
Last synced at: over 2 years ago

Topics: gradient-descent, gradient-descent-algorithm, linear-programming, linear-regression, logistic-regression, predictive-modeling, regression-algorithms, regression-analysis

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