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Name: Maya Morales
Type: User
Company: Me
Bio: A data scientist working to bridge the gap between the technological and environmental world.
Location: Boulder Colorado
Name: Maya Morales
Type: User
Company: Me
Bio: A data scientist working to bridge the gap between the technological and environmental world.
Location: Boulder Colorado
Using neural networks to sequence DNA in order to classify promoter strands.
OpenTripPlanner library for jython
A simple linear regression model which will predict population of a country
This code is part of a larger project which is working to predict future food scarcity by country based on differing climate mitigation conditions.
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Practicing building recommender systems, my system is based on moves and ratings.
Scraping reddit and using NLP to classify various subreddit communities
Reworking of Reddit Classification Lab
Practicing using recurring neural networks on text data
Segregation Analysis, Inference, and Decomposition
The aim of this practical is to have an idea of how coarse-resolution global models of soil loss and land surface processes can be used to study the soil organic carbon pool. We will make use of the CE-DYNAM model (Naipal et al., 2018, Biogeosciences), and we will only look at the carbon erosion rates triggered by soil removal on cropland.
My second place solution to the Africa Soil Property Prediction Challenge
Code to accompany the paper 'Building an Open Science Framework to Model Soil Organic Carbon'
R package with functions from the Soil Security Laboratory from the University of Sydney
Zip code boundaries for each of the 50 states
This was a lab done for school where I compared a wide range of both regression and classifciation models to see which factors were important in predicting both income and 401k eligibility.
scripts and notes for learning
Complete-coverage gridded predictions of soil properties (percent organic carbon, total nitrogen, bulk density, pH, and percent sand and clay) and classes (taxonomic great group and particle size in the control section) for the Conterminous U.S.
Data, R scripts, results (figures, tables, R model outputs) and manuscript for the YAMSYS (see http://yamsys.org) mid-infrared spectroscopy calibration models.
Analysis for fun
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.