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1. APINN-BasedFrameworkforE-cientEuropean-Option-Pricing-under-the-Black-Scholes-Model APINN-BasedFrameworkforE-cientEuropean-Option-Pricing-under-the-Black-Scholes-Model Public

   The goal of this project was to implement a physics-informed neural network (PINN) framework to efficiently price European call options under the Black-Scholes model.

   Jupyter Notebook 1

2. Approximation-Properties-of-ReLU-Neural-Networks-and-Connections-with-Finite-Element-Methods Approximation-Properties-of-ReLU-Neural-Networks-and-Connections-with-Finite-Element-Methods Public

   This project investigates the approximation capabilities of Rectified Linear Unit (ReLU) neural networks and compares their performance with classical numerical methods, specifically Finite Element…

   Jupyter Notebook 1

3. ds4400 ds4400 Public

   This project analyzes League of Legends match data to predict game outcomes using various machine learning models, including Logistic Regression, Random Forest, XGBoost, and Gaussian Naive Bayes.

   Jupyter Notebook 1

4. public_statement_analysis public_statement_analysis Public

   This project examines the aftermath of data breaches by investigating 11 notable breaches that occurred in the past decade: British Airways, DoorDash, Equifax, Hilton, LinkedIn, Optus, Pearson, Tar…

   Python 1

5. Prediction-of-Cardiovascular-Disease-and-Stroke Prediction-of-Cardiovascular-Disease-and-Stroke Public

   This project aimed to predict cardiovascular disease (CVD) and stroke using two datasets from Kaggle: the Cardiovascular Disease dataset and the Stroke Prediction dataset.

   Jupyter Notebook 1

6. Analysis-of-vaccination-status-in-the-United-States-12-months-after-the-start-of-covid19 Analysis-of-vaccination-status-in-the-United-States-12-months-after-the-start-of-covid19 Public

   This project explored Covid-19 vaccine distribution data in the United States from 12/21/2020 - 4/12/2021.

   Python 1