Frequency Table, Chi-Squared & ANOVA Test, KM Model, Median Time Comparison, Log-Rank & Wilcoxon Test, Tukey Multiple Comparison, Immortal Time Bias, Cox Model, Proportional Hazards Assumption Test…

Machine learning models predict COVID-19 case counts using RNA concentration in wastewater, employing K-Nearest Neighbors (KNN), Gradient Boosting Machines (GBM), and Generalized Additive Models (G…

Time Series Modelling to select the best ZIP Code for real estate investment. *The data belongs to private organization*. Team members: Vishal Subedi

Testing NetworkX library for graphing and data generation

Performed classification algorithm on insurance dataset to predict the occurrence of fraudulent claims given a training set and testing set. *The train and test dataset are not provided in the publ…

YOLOv5 model to improve computer vision and facial recognition performance in face mask detection problems

Coding assignment involves basic machine learning algorithm in Classification, Text Mining, and Clustering

For Course 8052 Applied Statistical Methods 2: Design of Experiments and Mixed -Effects Modeling. Some cooperation with Vishal Subedi

Coding Assignment for Introduction to Machine Learning course at UMN, building machine learning algorithm from scratch and skeleton without Python libraries.

Regression with OLS, Ridge, Lasso, and Elastic-Net. *Data obtained from Sklearn library.

Classification modeling on predicting the presence of heart disease. *Data obtained from Kaggle. Team members: Kah Meng, Eric Thomas, Andrew Jee, Adam Meziou