Data Science

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Started on 7th February, 2018

Finished on 8th May, 2018


Coding challenges


Weekly projects


Weekly projects

OOP Hangman Game

Implement an OOP version of the Hangman game to learn fundamental object oriented design concepts

OOP Hangman
Hangman Game

Implement a Python versions of the famous Hangman game using functions, basic collections and control flow structures

Functions Hangman
Football Dictionaries

Learn advanced collections and control flow structures by playing with a football players dataset

Collections Football

Build a clone of the Instagram social network using Python

Instagram Social
HTTP Practice

Basic practice to learn HTTP concepts using the requests Python library

http requests
Gists Database

Connect with Github's Gist API and store gists in a local searchable database

Gist Database
Your first Flask App

Simple webapp to practice how to use the Python/Flask web framework

Flask Webapp

Final project

MLS Salaries & Success

This project analyzed MLS salaries.

The goal of the project was to analyze the roster structure of teams in MLS and create a metric to determine success based on these findings. In order to do that, I measured what half of teams were doing compared to the other half of the league. The results can be found in the GitHub repository and the blog post.