konnermacias Goto Github PK

2016-nfl-regular-season-vs.-preseason

Used R to create a Shiny app to illustrate relationships between the 2016 NFL preseason and the regular season. It's common knowledge not to judge anything off of preseason but the project was good practice and led to interesting finds!

applied-numerical-methods

UCLA Math 151A - Applied Numerical Methods.

asyncio-server-herd

Prototype server herd that uses Python's asyncio library to propagate location data using a flooding algorithm to neighboring servers. Utilizes Ticketmaster's API for event queries based on location. Extension off of a previous CS 131 project of mine.

battleship

computer-organization-cs-33

Some coursework from Eggert's CS 33 course.

disease-classifier-workbook

Repository for containing all data wrangling code, and modeling for the symptom to disease classifier web application

django-local-library

Local Library written in Django

evolution-of-nba-play-styles

Clustering NBA play types over time visualized using d3

field-goal-percentage

Analyzing and predicting field goal percentage based upon mock data provided by the OKC Thunder basketball organization.

fifa-data-analysis

firstsite

Practicing Jekyll to run website for Bruin Sports Analytics: http://www.bruinsportsanalytics.com/

free-agents

Statistically valid Multiple Linear Regression model used to predict NBA salaries, in cooperation with UCLA Statistics

grand-slam-prize-money-growth

First project! It's really ugly but it was my first self-taught personal project. It analyzes data personally gathered of grand slam prize money growth for men's singles from 1977. Based off training data, tries to predict future prize money.

neural-network-mnist-dataset

Created a 3-layer neural network to learn the MNIST dataset which is a database of handwritten digits. Performance score of 97.4%

operating-systems-cs-111

Coursework from Kampe's Spring 2018 CS 111 course.

programming-languages-cs-131

Coursework from Eggert's CS 131 course.

receiver-route-combos

Using NFL tracking data to uncover optimal receiver route combinations in R (Shiny App)

splatune

An audio-reactive Spotify music visualizer

sw-construction-lab-cs-35l

Some coursework from Eggert's CS 35L Course

tech-interview-prep

A comprehensive study guide for a coding/technical Interview (SWE)

tic-tac-toe

Play against a computer using the Minimax algorithm to defeat you in Tic-Tac-Toe!

time-series-analysis-stats-170

Comparing differing time series forecasting techniques on housing starts in the United States. UCLA Stats 170

titanic-survival

Analyzed which people would survive the Titanic Shipwreck. Used Random Forest for my machine learning and Pylab for my visualizations.

web-server-cs130

Team written web server in C++ for UCLA's CS130 Software Engineering course taught by 4 Google Engineers