GitHub / AkashKobal / data-science
I'm excited to share my data science project🚀, where I've applied various techniques and insights to solve a specific problem. The project follows best practices for maintainability and reproducibility, using the Data Science Project Template. Dive into the project to explore the code, datasets, documentation, and resources that showcase MyJourney
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AkashKobal%2Fdata-science
PURL: pkg:github/AkashKobal/data-science
Stars: 12
Forks: 5
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 54.2 MB
Dependencies parsed at:
0
Created at: almost 2 years ago
Updated at: 3 months ago
Pushed at: about 1 year ago
Last synced at: about 1 month ago
Commit Stats
Commits: 58
Authors: 2
Mean commits per author: 29.0
Development Distribution Score: 0.397
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/AkashKobal/data-science
Topics: akash, akash-kobal, akashkobal, applied-data-science, artificial-intelligence, classification, data-science, dataanalysis, dataanalytics, datascienceproject, datascientist, deep-learning, kobal, machine-learning, prediction, regression
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