PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

Implementation of NAACL 2024 Outstanding Paper "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"

Tool for evaluating atmospheric carbon dioxide concentrations as simulated by Earth system models

This repository commits to the application of biostatistics knowledge on clinical, randomized trials and observational studies.

Sub-package of spatstat containing functionality for parametric modelling and inference

Global challenge to create Species Distribution Model to predict occurrence of frog species, Litoria fallax, in Australia.

Objective of this project is to perform predictive assesment on the Gross Domestic Product of India through an inferential analysis of various socio-economic factors to find out which predictors contribute most to the GDP. Various models are compared and Stepwise Regression model is implemented which resulted in 5.7% Test MSE.

Tool for evaluating atmospheric carbon dioxide concentrations as simulated by Earth system models

This repository contains some of the time series analysis, diagnostics and forecasting projects I have done.

Approximation Bayesian Computation: Population Monte Carlo in MATLAB and Python

This project uses the Reaction Time Survey dataset to develop a linear regression model for accurately predicting student reaction times based on various predictors. Tech: R (RStudio)

time series analysis in R use cases

Lending Club's loan data analysis using data cleaning/wrangling to predictive modeling

Detailed implementation of various time series analysis models and concepts on real datasets.

Date cleaning and preprocessing | Data wrangling | Data visualization | Summary statistics | Kaplan Meier | Cox Proportional Hazards Regression| Stratification | Report Writing | Real world data

Working through the book and exercises Pandas for Everyone by Daniel Chen

Model Diagnostics App for Logistic Regression

This work came from the Stats525 course in Regression Analysis in R during the Spring semester of 2021 with Professor Maryclare Griffin

Coursework and Stata code for PBHS 32410: Regression Analysis for Health and Social Research (Winter 2024, University of Chicago). Topics include linear regression, multiple regression, interaction effects, model diagnostics, Poisson and logistic regression, and the application of generalized linear models in public health data.