The urban heat island effect (UHI) causes serious harm to human health and beyond and is unevenly distributed across American cities. Using Spatial Autoregressive (SAR) models and Conditional Autoregressive (CAR) models, this report seeks to provide a rigorous spatial analysis of these trends in Minneapolis-St. Paul and Phoenix and to compare model similarity and performance between these two cities.
Utilizing a robust Generalized Estimating Equations (GEE) model, we have identified statistically significant improvements in speed processing among adults who received training.
Reducing carbon emissions and substantially decreasing carbon emissions is of significant importance to post-secondary institutions. This case study of [Macalester College](https://www.macalester.edu/) in St. Paul, MN uses time series analysis to model and forecast energy use using the campus' main meter.
An interactive R bookdown website on the EM Algorithm, showcasing comprehensive content, coding examples, and practical applications.
How does Netflix always know exactly which movies you like? Unlock the secret behind Netflix's recommendation system using Applied Singular Value Thresholding (SVT) and Cosine Similarity.
An in-depth assessment of the potential causal relationship between Self-Perception of Creativity and Participation in Arts using data set from National Archive of Data on Arts & Culture.
Participated in DataFest contest in 2022 and 2023, a competition that challenges groups to draw conclusions from a given dataset within 48 hours.
Research in the application of Lagrange polynomials in Mathematica to interpolate two-dimensional data, uncovering their significance in mathematical and statistical modeling of real data points.
How we explored the factors contributing to employee attrition using Employee Attrition dataset from Kaggle.
Research in luxury hotel reviews in Europe, employing advanced techniques to predict reviewer scores and identifying key factors influencing user satisfaction.