10BC0 ridge-regularization · GitHub Topics · GitHub
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ridge-regularization

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Your all-in-one Machine Learning resource – from scratch implementations to ensemble learning and real-world model tuning. This repository is a complete collection of 25+ essential ML algorithms written in clean, beginner-friendly Jupyter Notebooks. Each algorithm is explained with intuitive theory, visualizations, and hands-on implementation.

  • Updated Jul 22, 2025
  • Jupyter Notebook

A Machine Learning project to predict bike-sharing counts using regression models, including linear, polynomial, and regularized techniques

linear-regression polynomial-regression lasso-regularization ridge-regularization < FCDC a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1969439,"originating_url":"https://github.com/topics/ridge-regularization","user_id":null}}" data-hydro-click-hmac="a0f81a19a0c71ceb782542eb4749c7d01aa36bb72e656779f5c754060f471d60" title="Topic: elastic-net-regularization" href="/topics/elastic-net-regularization" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">elastic-net-regularization
  • Updated Sep 9, 2024
  • Jupyter Notebook

Explore various regression models including univariate and multivariate linear regression, along with regularization techniques such as Ridge Regression and Lasso Regression. This repository contains Jupyter Notebook files (.ipynb) demonstrating the implementation and usage of different regression models. Additionally, datasets used for training an

  • Updated Feb 27, 2024
  • Jupyter Notebook

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