Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.

Video Resources for Flatiron School Full-Stack Web Development

My first Ruby gem. Dank classes&methods only.

How many food emoji can you correctly identify in 30 seconds?

Okay, should we get some coffee? ☕️

Prediction of severity of Car Crashes using Machine Learning

This project analyzes the impact of the broadband and device digital divide upon educational assessment outcomes for math and reading/language arts in K-12 public School Districts across the United States. Completed as a Capstone project for graduation from Flatiron School.

The Covid Volunteer App: Stronger Together allows local businesses or non-profit organizations to post projects they need volunteers for. Volunteers can view and choose from a list of projects they want to be involved in, all in one place.

An intuitive reading tracking app. Modeled after the Storygraph, this project serves to expand and better the current functionality of a popular non-Amazon reading tracker.

This repository includes my Liver Disease Machine Learning-Flatiron School Module 3 Project. For this project I used libraries such as Pandas, Matplotlib, and Seaborn for visualizations and Scikit-Learn for the machine learning portion of the project. I implemented various classification algorithms on the data including some hyperparameter tuning.

Repo contains a Jupyter notebook, student.ipynb, that contains an exploratory data analysis of movie datasets. The project prompt was to provide business recommendations for Microsoft as they foray into the movie production business. Please comb through the README.md in this repo for more information, or check the linked blog post below.

Web app that allows users to locate bars by GPS and virtually open and close bar tabs. This project utilizes a React.js front end with a Rails/postgreSQL back end.

This repository includes my COVID-19 PyTorch Image Classifier-Flatiron School Capstone Project. I used a resnet-18 model and trained it on the COVID-19 Radiography Dataset. This dataset has nearly 3000 Chest X-Ray scans which are categorized into three classes - Normal, Viral Pneumonia, and COVID-19. The objective of this project was to create a…

Notes and tips from my CLI Assessment at Flatiron School.

Cryptocurrency search resource with real-time stats and a portfolio to store favorites

A CLI with randomized Chuck Norris jokes and Chuck Norris giphs developed as a side exercise by Matt Bartl and Sylwia Vargas during Flatiron School's web dev immersive program.

Web app that allows users to locate bars by GPS and virtually open and close bar tabs. This project utilizes a React.js front end with a Rails/postgreSQL back end.

Flatiron additional phase-3 code challenge

This repository includes my House Prices Multi-Variate Linear Regression-Flatiron School Module 2 Project. In this project I made use of the OSEMN methodology incorporating packages such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.