derek-naka Goto Github PK

2022-fa-stats21

bsa_f2022_transfer_market

Determining how much of an effect money from the transfer market (Premier League) has on league placement. Using this information to predict the success of teams in the 22/23 season.

bsa_s2022_soccer_managers

Exploratory data analysis on how much of an impact managers make on a soccer team

bsa_w2022_fifa_tots

Exploratory data analysis on what statistics were needed for soccer players to make FIFA's Team of the Year Shortlist.

bsa_w2023_hof

datafest_23

UCLA DataFest Competition 2023

datares_f2022_consulting

Using natural language processing, clustering, and EDA to determine to what extent does the home description on Zillow determine the selling price and selling speed of a house.

datares_s2023_consulting

Working with a wine pairing company, Winosaurus, to make an image processing application to read the text off of wine bottles.

datares_teach_python

This contains all of my notes regarding Python in a short, easy to understand notebook. This repository contains information about exploratory data analysis, machine learning, natural language processing, and a little image processing.

datares_teach_r

This repository has all of the examples and visualizations talked about during the meetings. I've also included all of the csv files that I've used for the projects in case you want to edit the code for yourself.

datares_w2022_nba_hof

Defensive and Offensive Statistics to determine if players make it into the NBA Hall of Fame

derek-naka

derek-naka.github.io

derek_website

Created a website from scratch using HTML & CSS. This has a combination of teaching R & Python and my projects that I have worked on throughout college.

f22_math42

Using EDA to determine how much of an effect money has in the NBA. Will be looking at player salaries, distribution of salaries, and team net worth to fit a machine learning model to predict success in the 22/23 season.