https://github.com/agrover112/cc1702-ml-lab

Assignments for Machine Learning Lab CC1702 2021

https://github.com/agrover112/cc1702-ml-lab

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (1.0%) to scientific vocabulary

Keywords

machine-learning machine-learning-algorithms manipal-university
Last synced: 5 months ago · JSON representation

Repository

Assignments for Machine Learning Lab CC1702 2021

Basic Info
  • Host: GitHub
  • Owner: Agrover112
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 1.16 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
machine-learning machine-learning-algorithms manipal-university
Created about 4 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License

README.md

ML-Lab CC1702

Machine Learning lab experiments for MUJ CCE. Some really basic ML codes, for reference.

Owner

  • Login: Agrover112
  • Kind: user

Humans trying to understand machines and people.

GitHub Events

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Last Year

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 16
  • Total Committers: 1
  • Avg Commits per committer: 16.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Agrover112 4****2 16

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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