Project Description In this project, I predict the Indoor Location of users using Wifi fingerprints with a combination of Principal Component Analysis (PCA) and Multi-label Classification using skmultilearn. Many businesses and service providers rely on localization services in order to better serve their patrons. Thanks to the inclusion of GPS sensors in mobile devices, outdoor […]
Coding in Python
Disaster Response Message Classification Pipelines (NLTK & Flask)
Typhoon victim Marimar Bacolod, smiles after receiving bags of relief goods. (Photo: ROMEO GACAD/ Getty Images)
Project Description Figure Eight Data Set: Disaster Response Messages provides thousands of messages that have been sorted into 36 categories. These messages are sorted into specific categories such as Water, Hospitals, Aid-Related, that are specifically aimed at helping emergency personnel in their aid efforts. The main goal of this project is to build an app […]
Analyzing Kickstarter Campaigns with Interactive Visualizations
Kickstarter is an enormous crowdfunding website that supports thousands of people in actualizing their dreams. I was curious about how different categories perform and what insight can I provide to someone who wants to start a project on kickstarter. I used Kickstarter data since 2009, and created interactive visualizations using the Python Library Plotly. Feel […]
Identifying Customer Segments for Mail-Order Sales Company with PCA and KMeans Clustering
In this project, I explore Data from a Mail-Order Sales Company and use unsupervised machine learning techniques to help them identify segments of the population for direct marketing campaigns that would have the highest rate of return. You can find the full code here and below. Here’s a quick overview of the data and analysis that took place. […]
What Flower is this? Developing an Image Classifier with Deep Learning using Pytorch
In this project, I develop a deep learning model and train it on a large set of flower image data in order to accurately predict the names of flowers in completely new images. You can find the full code here and below. I had quite a bit of fun analyzing this beautiful British flowers data […]
Code4PA: Deep Learning Neural Networks to address the Opioid Epidemic
Code4PA is a codeathon that encourages learning, collaboration, growth, innovation, and fun among PA’s network of technical talent. Through a series of collaborative events, teams will utilize state and local data to generate ideas, designs, prototypes and/or apps to increase transparency and efficiency for public engagement with the government. This year’s theme is to help Pennsylvania […]
Tone Analysis of Supreme Court Nominee Brett Kavanaugh and Dr. Christine Blasey Ford
The September 27th testimony before the Senate Judiciary Committee by Supreme Court Nominee Judge Brett Kavanaugh, and one of his accusers, Dr. Christine Blasey Ford, stirred many emotions. The testimonies themselves, and the reactions to them, have gripped the media and the nation for almost an entire week. I wanted to examine the testimonies’ substance […]
Helping a Non-Profit Find Potential Donors based on Income Data
In the Notebook below, I use supervised machine learning algorithms to help a non-profit predict whether an individual makes more or less than $50,000. This information is very important to them because it will inform their fundraising efforts. I explain the approach to the problem, how to go about pre-processing the data, how to create […]