Book Inc.: A Software Development Parable

Have you ever wondered what your friends at tech companies do? Imagine the following… Book Inc. is a company that publishes a novel (piece of software). The company wants to continuously improve their book, so they release a new, updated version every few weeks (agile methodology).  The novel is twenty chapters long, so the companyContinue reading “Book Inc.: A Software Development Parable”

100 Days of Code, Days 19-20: Spreading the Field with Python

For my last few days on the basketball machine learning program, I decided to test different sets of players to see if the program was as accurate as it was with Lebron and Russel Westbrook. I also decided to see if changing sports or comparing the same player from different years had an impact onContinue reading “100 Days of Code, Days 19-20: Spreading the Field with Python”

100 Days of Code, Day 18: Machine Learning for all NBA Players

Using my old basketball machine learning code as a base, I managed to create a machine learning model that can not only take in differently sized datasets but also gives an output of player predictions on a game by game basis. Let’s break down my code so we can see how Python made building this littleContinue reading “100 Days of Code, Day 18: Machine Learning for all NBA Players”