moralesmaya Goto Github PK

neural-networks-and-dna-sequencing

Using neural networks to sequence DNA in order to classify promoter strands.

opentripplanner-jython

OpenTripPlanner library for jython

population-prediction

A simple linear regression model which will predict population of a country

practicepython

predicting-crop-yields

This code is part of a larger project which is working to predict future food scarcity by country based on differing climate mitigation conditions.

programming-books

pythonnumericaldemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

reccomender-systems-practice

Practicing building recommender systems, my system is based on moves and ratings.

reddit-classification

Scraping reddit and using NLP to classify various subreddit communities

reddit-post-classification

Reworking of Reddit Classification Lab

rnn-ontextdata

Practicing using recurring neural networks on text data

segregation

Segregation Analysis, Inference, and Decomposition

soil-carbon

soil-erosion-practical

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.

soil-prediction

My second place solution to the Africa Soil Property Prediction Challenge

soilcarbonframework

Code to accompany the paper 'Building an Open Science Framework to Model Soil Organic Carbon'

soilhealthdb

soilsecuritylab

R package with functions from the Soil Security Laboratory from the University of Sydney

state-zip-code-geojson

Zip code boundaries for each of the 50 states

svm-comparisons-of-401k-eligibility

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.

teaching

scripts and notes for learning

us_soilgrids100m

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.

web-data-base-proect

yamsys-soilspec-publication

Data, R scripts, results (figures, tables, R model outputs) and manuscript for the YAMSYS (see http://yamsys.org) mid-infrared spectroscopy calibration models.

zenzic

Analysis for fun