Phase 3 (Ruby back-end) project for Flatiron School (remake)
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Updated
Oct 24, 2021 - Ruby
Phase 3 (Ruby back-end) project for Flatiron School (remake)
Notes and tips from my Ruby on Rails Assessment at Flatiron School.
💎 Rails web app for trading used / unwanted items for a better one
Notes and tips from my CLI Assessment at Flatiron School.
Notes and tips from my Sinatra Assessment at Flatiron School.
🚀 ✨ A full stack React.js and Ruby on Rails web app aimed to provide a safe space for sharing kind words to folks who need them
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…
Keep Track of your books with this handy book inventory app. You can also keep notes on the books that you've read (and note whether you've actually read them or not, too). This was built during my time at Flatiron School.
Concentration game frontend, mod3 project at Flatiron School
SnackAttack is an App designed to take the guess work out of choosing a snack. Built during pair projects week at Flatiron School.
😸 📸 A Javascript web app designed as an Instagram clone but for cats
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.
This repository includes my Chest X-Ray Deep Learning-Flatiron School Module 4 Project. For this project, I made use of OS to access the data. The Pandas, NumPy, Matplotlib, Seaborn, and Plotly libraries were used to explore the data. Keras was used to build the image classifier.
A customer - restaurant ordering service
A Single Page Application (SPA) where the front-end, built with HTML, CSS, and JavaScript interacts with a public API.
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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.
Bestie, the Friend CRM, helps you stay in touch with the closest people in your life
Organize your clothing into a minimalist closet.
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