B-Cell Epitope Analysis and Prediction
This project aims to predict B-Cell Epitopes using various machine learning techniques such as Random Forest, XGBoost, and Recurrent Neural Networks. Data was taken from a public dataset on Kaggle.
Natural Language Processing on Hotel Reviews
Sentiment analysis of Hotel Reviews using various machine learning models
Statistical Analysis on the West Nile Virus in Chicago
Exploratory Data Analysis on the West Nile Virus in Chicago. Explored the relationship of mosquito species, trap types, and virus prevalence using hypothesis testing and regression analysis.
BIXI Bike Share Analysis using SQL and Tableau
The analysis identified opportunities for seasonal promotions, targeting commuters, and expanding into recreational areas, contributing to potential business growth.
Drake or BTS?
Simple HTML webapp for predicting whether lyrics inputed are likely to be from Drake or BTS using a Naive Bayes model. Project showcases ability to use FLASK backend to deploy machine learning models. CSS styling taken from HTML5up. Hosted on PythonAnywhere.
Korean Drama Recommender App
Simple HTML webapp for recommendations among the top 250 Korean Dramas based on user input using cosine similarity to showcase ability to deploy recommender system through FLASK backend. CSS styling taken from HTML5up. Hosted on PythonAnywhere.