GitHub / AdityaTheDev / RedWineQuality-using-Various-Regressions
Prediction of red wine quality using various regressions. I found this dataset online(UCI). I have implemented various regression such as Linear regression, Stochastic Gradient Descent Regression and Shrinkage methods such as Ridge regression, Lasso Regression, ElasticNet regression. All these regression methods have found the right solution. This project is purely done to experiment various regression methods
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdityaTheDev%2FRedWineQuality-using-Various-Regressions
PURL: pkg:github/AdityaTheDev/RedWineQuality-using-Various-Regressions
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 87.9 KB
Dependencies parsed at: Pending
Created at: almost 4 years ago
Updated at: over 2 years ago
Pushed at: almost 4 years ago
Last synced at: about 2 years ago
Topics: lasso-regression, linear-regression, redwine, regression, regression-analysis, shrinkage-methods