My Machine Learning Blog

Evolution Based Weight Vector Optimization

Implementation of Evolution Based Weight Vector Optimization

James Cummings, Jiffy Lesica, Yahya Rahhawi, Lukka Wolff

Overparameterization and Double Descent

Machine Learning

Implementation

Optimization

In this project, we explore the phenomenon of double descent in overparameterized linear regression models. Using a custom feature mapping approach inspired by kernel…

Implementing Newton and Adam Optimizers

Machine Learning

Implementation

Optimization

In this blog post, I explore how different optimization algorithms behave when training a logistic regression model—from the basics of gradient descent to the more advanced…

Implementing Logistic Regression

Machine Learning

Implementation

Optimization

In this project, I explore different optimization strategies for logistic regression, including vanilla gradient descent, momentum-based gradient descent, and an…

Exploring and Implementing the Perceptron

Machine Learning

This blog post explores the implementation and behavior of the perceptron algorithm, a foundational model in machine learning for binary classification. I begin by building…

When Numbers Lie

I came to machine learning because I believed in its elegance—the way a few lines of code could make predictions, optimize decisions, and maybe even eliminate human bias.…

Auditing Bias

Machine Learning

Bias

Fairness

Here we are downloading the dataset using folktables, then we define a classification problem to predict whether an individual’s income exceeds $50K. We exclude SEX and PINCP…

Understanding Feature Separability in Penguin Classification

Machine Learning

Projects

This analysis explores penguin species classification using machine learning models based on physical measurements from the Palmer Penguins dataset. We apply exploratory…