Addressing Political Bias in News Articles with Multinomial Regression

(now superseded by MLJLinearModels)

Mini Python projects for basic exploratory data analysis, collective intelligence and collaborative machine learning concepts such as regression,classification, clustering, ...etc

San Francisco (SF) has a long history of pushing the envelope on progressive public health solutions, including medical cannabis and needle exchange, before either was legal or broadly embraced. It is so out of proportion, that California passed a bill allowing SF to open Safe Injection Sites (SIS).

Deeper IMPACT: Ordinal Models for Outcome Prediction After Traumatic Brain Injury

Multinomial regression working on University data to classify whether a candidate would be opting or being selected for Academic, General or Vocational

Using classification algorithms to predict the geographical origin of an individual.

Final project for PHST 684 at the University of Louisville (Categorical Data Analysis)

Implementation of multinomial logisitic regression, Weighted Logistic Regression, Bayesian Logistic Regression, Gaussian Generative Classification and Gaussian Naive Bayes Classification from scratch in MATLAB

Block coordinate descent for group lasso

Analysis and ​ forecasting​ of weekly prices of vegetables in ​ India​ during ​ 1st​, ​ 2nd​ and ​ 3rd​ ​ lockdown ​ due to COVID’19

Classic methods on digit recognition. As part of the MITx course on machine learning with Python - from linear models to deep learning

Notebook to accompany blog post

Entry-level looks at Exploratory Data Analysis (in R & Python) and Regression Models (in R)

Automating Assumption Checks for Regression Models (Work in Progress, Currently Paused)