A collection of hands-on experiments and analysis in machine learning and AI – Machine Learning Projects Portfolio

Dark Web Product and Service Classification

A blog post about predicting product or service types from dark web data.

Azan & Prashant Babu

Overfitting, Overparameterization, and Double Descent

A blog post about Overfitting, Overparameterization, and Double Descent

Implementing Logistic Regression

A blog post about Implementing Logistic Regression.

Implementing Perceptron

A blog post about Implementing Perceptron and some experiments with it.

Dissecting racial bias in an algorithm used to manage the health of populations

A replication study of Obermeyer et al. (2019), exploring racial bias in healthcare cost algorithms and its impact on resource allocation.

Design and Impact of Automated Decision Systems

A blog post about Design and Impact of Automated Decision Systems

Limits of the Quantitative Approach to Bias and Fairness

A blog post on Limits of the Quantitative Approach to Bias and Fairness.

Sparse Kernel Machines

A blog post about ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍implementing a ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍sparse ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍kernelized ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍logistic ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍regression

Classifying Palmer Penguins

A blog post about classifying penguins with machine learning using logistic Regression.

Auditing Bias in Machine Learning Models

A blog post about auditing bias in machine learning models.