A GUI for visualizing player shot data for any season post-2015.
Users can create Heatmaps, Shot Charts, Bar Charts, and more for NBA players.
The comparison tool allows users to quickly inspect similar players found through KMeans clustering
A deep dive into the comments section of a popular YouTube channel. In this project, I used python to gather/explore the data and investigated the relationship between sentiment and other video metrics.
I extracted, cleaned, and analyzed the Zillow listing data for 4 major cities in Minnesota with the goal of answering questions such as:
Medical abstracts can often be unstructured and difficult to read. The objective for this project was to create a model for classifying sentences as part of the Objective, Background, Methods, Results, or Conclusions section of the document to improve comprehension.
I fine-tuned a Vision Image Transformer model to take in an image of a bean leaf and predict whether it is healthy or diseased. After training the model and achieving 96% accuracy, I created a Gradio web-application for users to classify their own images!
I used python to explore responses to Kaggle's annual survey of data professionals and predicted salaries with a Random Forest, KNN, SVR, and a VotingRegressor.
Calculating cup-to-disc is a manual task for a professional that could be improved and made more consistent with deep learning. In this project, I used 2 popular pre-trained neural networks (EfficientNet and VGG16) along with regularization through image augmentation and Dropout layers to detect glaucoma in fundus images.