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Read more about the article Polynomial Regression in R: Interactive Guide with a Degree Slider

Polynomial Regression in R: Interactive Guide with a Degree Slider

  • Post author:Abhishek Singh
  • Post published: November 13, 2026
  • Post category:Machine Learning/R programming

Learn polynomial regression in R by turning the degree dial: watch training and test error on real data, spot overfitting and code it with lm().

Continue ReadingPolynomial Regression in R: Interactive Guide with a Degree Slider
Read more about the article Ridge Regression in R: Interactive Guide with a λ Playground

Ridge Regression in R: Interactive Guide with a λ Playground

  • Post author:Abhishek Singh
  • Post published: November 13, 2026
  • Post category:Machine Learning/R programming

Learn ridge regression in R by playing: a live λ playground on mtcars, Ridge vs Lasso rapid fire, glmnet code and a final boss quiz.

Continue ReadingRidge Regression in R: Interactive Guide with a λ Playground
Read more about the article Elastic Net Regression in R: Interactive Guide with an α–λ Playground

Elastic Net Regression in R: Interactive Guide with an α–λ Playground

  • Post author:Abhishek Singh
  • Post published: November 13, 2026
  • Post category:Machine Learning/R programming

Learn Elastic Net regression in R by playing: mix Ridge and Lasso with alpha, slide lambda on real data, then fit and tune it with glmnet.

Continue ReadingElastic Net Regression in R: Interactive Guide with an α–λ Playground
Read more about the article Decision Tree Classification in R: Interactive Guide with a Depth Slider
Decision tree classification in R

Decision Tree Classification in R: Interactive Guide with a Depth Slider

  • Post author:Abhishek Singh
  • Post published: November 13, 2026
  • Post category:Machine Learning/R programming
  • Post comments:0 Comments

Learn decision trees by playing: entropy, Gini and information gain, ID3 vs C4.5 vs CART, and a live depth slider that shows overfitting, with rpart code in R.

Continue ReadingDecision Tree Classification in R: Interactive Guide with a Depth Slider

Lasso Regression in R: Interactive Guide with a λ Playground and Quiz

  • Post author:
  • Post published: November 13, 2026
  • Post category:Machine Learning/R programming
  • Post comments:1 Comment

Interactive R programming · Machine learning Lasso Regression in R, the game Learn Lasso by playing it. Seven short missions, a live λ playground built on real data, and a…

Continue ReadingLasso Regression in R: Interactive Guide with a λ Playground and Quiz
Read more about the article Elastic Net regression in R

Elastic Net regression in R

  • Post author:Abhishek Singh
  • Post published: April 20, 2025
  • Post category:Machine Learning/R programming

Ridge and Lasso regression are two powerful regularization techniques, but each comes with its own limitations: Ridge Regression (L2): Shrinks coefficients to prevent overfitting but never reduces them to zero…

Continue ReadingElastic Net regression in R
Read more about the article Decision tree classification in R
Decision tree classification in R

Decision tree classification in R

  • Post author:Abhishek Singh
  • Post published: May 25, 2022
  • Post category:R programming

Decision trees are one of the most basic and widely used machine learning algorithms, which fall under supervised machine learning techniques. Decision trees can handle both regression and classification tasks,…

Continue ReadingDecision tree classification in R
Read more about the article Lasso Regression in R

Lasso Regression in R

  • Post author:Abhishek Singh
  • Post published: May 24, 2022
  • Post category:R programming

Regularization is a crucial concept in machine learning used to prevent overfitting, which happens when a model performs well on the training data but poorly on unseen or testing data…

Continue ReadingLasso Regression in R
Read more about the article Ridge Regression in r

Ridge Regression in r

  • Post author:Abhishek Singh
  • Post published: May 20, 2022
  • Post category:R programming

Regularization is a technique used in machine learning to reduce overfitting, which happens when a model performs well on the training data but poorly on the testing data due to…

Continue ReadingRidge Regression in r
Read more about the article Polynomial regression in R

Polynomial regression in R

  • Post author:Abhishek Singh
  • Post published: February 3, 2022
  • Post category:R programming

In this article, we'll explore how polynomial regression can enhance our machine learning projects in R. While linear regression is a staple in machine learning, there are situations where polynomial…

Continue ReadingPolynomial regression in R
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