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GitHub / sharmaroshan / Don-t-Overfit
It is from Kaggle Competitions where the training dataset is very small and the testing dataset is very large and we have to avoid or reduce overfiting by looking for best possible ways to overcome the most popular problem faced in field of predictive analytics.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sharmaroshan%2FDon-t-Overfit
Stars: 6
Forks: 7
Open Issues: 0
License: gpl-3.0
Language: Jupyter Notebook
Repo Size: 12.5 MB
Dependencies: pending
Created: about 5 years ago
Updated: 7 months ago
Last pushed: about 5 years ago
Last synced: 7 months ago
Topics: bagging, competitive-programming-contests, lasso, linear-models, linear-regression, logistic-regression, machine-learning, overfitting, pystan, shuffle-split, stacking