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GitHub / d4rthm4ul / ML-Overfitting-Lasso-and-Ridge-Regression

In this repository you will learn how to handle overfitting with the help of Lasso and Ridge Regression regularizations, also working mechanism of those while using useful charts.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/d4rthm4ul%2FML-Overfitting-Lasso-and-Ridge-Regression

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 94.7 KB
Dependencies: pending

Created: almost 3 years ago
Updated: almost 3 years ago
Last pushed: almost 3 years ago
Last synced: about 1 year ago

Topics: chart, countplots, data, datascience, github, lasso-regression, machine-learning, matplotlib, overfitting, python, regularization, ridge-regression, scikit-learn, seaborn, train-test-split, underfitting, visualization

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