konnermacias Goto Github PK
Name: Konner Macias
Type: User
Company: Google
Bio: makefiles not war
Name: Konner Macias
Type: User
Company: Google
Bio: makefiles not war
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!
UCLA Math 151A - Applied Numerical Methods.
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.
Some coursework from Eggert's CS 33 course.
Repository for containing all data wrangling code, and modeling for the symptom to disease classifier web application
Local Library written in Django
Clustering NBA play types over time visualized using d3
Analyzing and predicting field goal percentage based upon mock data provided by the OKC Thunder basketball organization.
Practicing Jekyll to run website for Bruin Sports Analytics: http://www.bruinsportsanalytics.com/
Statistically valid Multiple Linear Regression model used to predict NBA salaries, in cooperation with UCLA Statistics
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.
Created a 3-layer neural network to learn the MNIST dataset which is a database of handwritten digits. Performance score of 97.4%
Coursework from Kampe's Spring 2018 CS 111 course.
Coursework from Eggert's CS 131 course.
Using NFL tracking data to uncover optimal receiver route combinations in R (Shiny App)
An audio-reactive Spotify music visualizer
Some coursework from Eggert's CS 35L Course
A comprehensive study guide for a coding/technical Interview (SWE)
Play against a computer using the Minimax algorithm to defeat you in Tic-Tac-Toe!
Comparing differing time series forecasting techniques on housing starts in the United States. UCLA Stats 170
Analyzed which people would survive the Titanic Shipwreck. Used Random Forest for my machine learning and Pylab for my visualizations.
Team written web server in C++ for UCLA's CS130 Software Engineering course taught by 4 Google Engineers
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.