Harsimranjit Singh

Harsimranjit Singh

Sep 21

Enhancing Support Vector Machines for Non-Linear Classification with Kernel Functions

7 min read

Harsimranjit Singh

Aug 12

Support Vector Machines: From Hard Margin to Soft Margin

1

11 min read

Harsimranjit Singh

Jul 30

Exploring the Depths of Support Vector Machines: Hard Margin SVM

4 min read

Harsimranjit Singh

Jul 30

Exploring the Depths of Support Vector Machines: Hard Margin SVM

4 min read

Harsimranjit Singh

Jul 3

ROC-AUC Curve in Machine Learning

2 min read

Harsimranjit Singh

Jun 27

Maximum Likelihood Estimation with Logistic Regression

3 min read

Harsimranjit Singh

Jun 18

Understanding Logistic Regression

3 min read

Harsimranjit Singh

Jun 7

Elastic Net Regularization: Balancing Between L1 and L2 Penalties

2

2 min read

Harsimranjit Singh

May 26

Polynomial Regression: Exploring Non-Linear Relationships

3 min read

Harsimranjit Singh

May 24

Understanding Lasso Regularization: Enhancing Model Performance and Feature Selection

2 min read

Harsimranjit Singh

May 4

Bias and Variance Tradeoff

2 min read

Harsimranjit Singh

Mar 30

Gradient Descent: Optimizer Behind Machine Learning

4 min read

Harsimranjit Singh

Mar 27

Multiple Linear Regression - Beyond the line

2 min read

Harsimranjit Singh

Mar 25

Secrets of Regression Evaluation - A Guide to Common Metrics

2 min read

Harsimranjit Singh

Mar 22

Ordinary Least Squares in Simple Linear Regression - Unveiling the Math Behind the Line

3 min read

Harsimranjit Singh

Mar 21

Understanding Simple Linear Regression: Predicting with straight lines

2 min read

DEV Community

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Writing Debut

Enhancing Support Vector Machines for Non-Linear Classification with Kernel Functions

Support Vector Machines: From Hard Margin to Soft Margin

Exploring the Depths of Support Vector Machines: Hard Margin SVM

Exploring the Depths of Support Vector Machines: Hard Margin SVM

ROC-AUC Curve in Machine Learning

Maximum Likelihood Estimation with Logistic Regression

Understanding Logistic Regression

Elastic Net Regularization: Balancing Between L1 and L2 Penalties

Polynomial Regression: Exploring Non-Linear Relationships

Understanding Lasso Regularization: Enhancing Model Performance and Feature Selection

Bias and Variance Tradeoff

Gradient Descent: Optimizer Behind Machine Learning

Multiple Linear Regression - Beyond the line

Secrets of Regression Evaluation - A Guide to Common Metrics

Ordinary Least Squares in Simple Linear Regression - Unveiling the Math Behind the Line

Understanding Simple Linear Regression: Predicting with straight lines