Name: Evan Cope
Type: User
Company: The Goodyear Tire & Rubber Company
Bio: I'm a Data Engineer by day, and an avid gamer, music producer, and code puppeteer by night. Slowly falling in love with computer brains one day at a time.
Location: Northeast Ohio
Blog: www.hashy.codes
Evan Cope's Projects
Some code written for Kaggle's 30 Days of Machine Learning [August 2021].
We demonstrate some of the basic features of the Flask microframework.
In this project, we use data manipulation and visualization to explore patterns and trends over 100 years worth of Nobel Prize winners.
An Advent calendar of small programming puzzles for a variety of skill sets and skill levels.
A collection of solutions developed solving the Advent of Code 2022 puzzles.
A collection of solutions developed solving the Advent of Code 2023 puzzles.
The beginnings of a SaaS project.
Some SQL queries written to answer interesting questions about international debt using data from The World Bank.
We load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows.
Python project created in Codecademy to demonstrate and review class inheritance.
An automated workflow for building vendor categories on the Boutsy Wholesale Marketplace.
We looked at what passwords fail to conform to the National Institute of Standards and Technology password guidelines.
A mini blockchain in Python.
Python project created to review classes and inheritance from Codecademy.
We use a machine learning algorithm called k-Nearest Neighbor (kNN) to implement collaborative filtering, and generate book recommendations.
We build a chatbot by implementing machine learning and natural language processing.
An example that for getting your first successful build on CricleCI.
We use the Iris dataset loaded in scikit-learn to demonstrate the basis for Machine Learning.
Applications of machine learning methods in Python to classify songs into genres.
A simple console based chatbot that uses control flow and conditionals to provide pre-defined choices and responses for your coffee order.
A simple landing page for finding nearby coffee shops designed using Next.js.
I finally made one of these!
A simple countdown site with a responsive design.
In this project we demonstrate how the RFM matrix principle can be used to investigate customer segmentation.
We demonstrate some of the methods included with the Array object in JS.
We implement a linked list and provide some examples of how it behaves.
Demonstrates some of the methods for the Map data structure in JS.
We implement a Queue object and create a line of people.
We demonstrate some of the methods that come with the Set data structure in JS.
We provide an example of public and private stacks and how they behave.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent