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5123_linear_models

Lab assignments and code repository for Group 1 in HUDM 5123 Linear Models & Experimental Design, Fall 2021

6122_multivariate

Code and assignments for HUDM 6122 Multivariate Analysis I. Methods covered include common data mining and dimensionality reduction techniques such as PCA, cluster analysis, factor analysis and multidimensional scaling.

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

cart

This repo contains an R programming project that implements and compares decision tree models including C5.0, C5.4 and CART.

dl_timeseries

Deep Learning for Time Series Classification

employee_attrition_modeling

People analytics project in R that implements predictive modeling to identify employees most likely to leave a company. Discussion around implications for the sample firm and proposed interventions draw on best practices in organizational development.

factor_analysis

Factor analytics techniques employed in R, including EFA and CFA, to analyze Martin & Doris's (2003) research on the development of a psychometric instrument measuring individual styles of humor.

gr5073_ml

Personal repo for projects associated with GR 5073 Machine Learning for the Social Sciences

gzlupko

hudm5199

Programming for Data Science

k-nearest_neighbors

kaggle_riid_competition

natural-language-processing-1

This project explores methods in Natural Language Processing (NLP) including text mining and pre-processing, sentiment analysis, and Latent Dirichlet Allocation (LDA) topic modeling.

network_research

This R notebook applies machine learning classification methods in the context of organizational network analysis. The goal was to test the predictive accuracy of various supervised learning models on company employee network data.

nlp_projects

This repo contains Python and R code for Natural Language Processing (NLP) methods applied to open-entry text data collected in psychological and organizational research.

orla_6541_applied_data_science

Work team repo for code and coursework associated with ORLA 6541 Applied Data Science in Organizations at Teachers College, Columbia University.

personal_website

Personal website

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

r-shiny-interactive-visualization

This repository houses code for an R Shiny web application that allows users to share interactive data visualizations. I deployed the application via shinyapps.io, enabling users to access the application through a web browser.

raspberry_pi_python_projects

readme-template.md

A README template for anyone to copy and use.

recruiting_prediction_neural_network

This project analyzes fictional recruiting data through two main approaches - prediction and explanation. A multilayer perceptron is used for prediction and logistic regression for explanation.

reticulate

Running Python in R with the reticulate package

social_network_analysis

This repository utilizes social network analysis (SNA) to analyze multiple social networks. Clustering algorithms were used to explore sub-groups and QAP was implemented for non-parametric multiple regression analysis.

spark

Apache Spark - A unified analytics engine for large-scale data processing

spotify_data_analysis

Performed data cleaning, visualization, and statistical testing in R on Spotify’s Global Top 50 songs. Implemented multiple regression to identify multivariate predictors of song popularity.

sql_database_in_aws

Spun instance in Amazon Web Services (AWS) and built database using SQL. Connected the AWS instance to RStudio in a local environment and ran SQL commands in RStudio using the DBI package.

statistics_multi

Repo for the course Applied multivariate statistics

transaction-fraud-detection

A data science project to predict whether a transaction is a fraud or not.

twitter_api

Utilized Twitter API for data mining. Built an HTML-formatted data visualization using RMarkdown of tweet activity for trending houseplants.