Name: Ryan Menezes
Type: User
Company: Los Angeles Times
Bio: Analyzing data for stories at the Los Angeles Times, home of the @datadesk. UCLA '13 (B.S. Statistics). R/python, statistics/economics, basketball/soccer & more
Location: Los Angeles, CA
Ryan Menezes's Projects
Methodology and code supporting the BuzzFeed News/BBC article, "The Tennis Racket," published Jan. 17, 2016.
The most recent version of the Applied Machine Learning notes
Comparing books I've read using an ELO rating system
people on the move
Random U.S. Census-related work
Are there racial trends in the survival rates of coaches?
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
analyses of covid data from county dept of public health and LAT
An attempt to model win probability in cricket ODI matches
crowded housing, where it is, why it's happening, etc.
A django app to track the nerdiest fantasy basketball league.
My work from the Feb. 3, 2019 training
Nicar ML/NLP workshop by J Kao
A Django app to transform and refine campaign-finance data from the California Secretary of Stateโs CAL-ACCESS database
A Django app to download, extract and load campaign finance and lobbying activity data from the California Secretary of State's CAL-ACCESS database
trying to rate the games by excitement using a win prob model
Data about the beautiful game
A website to publish results of the model
Some simple math we use to do journalism.
It's the law.
Scratch python work for the "Math Behind Moneyball" Coursera class
downloading and parsing raw census microdata for analysis
Source code for my collection of articles on using pandas.