Dario Romero's Projects
A petrophysics python package for geoscience python computing of conventional and unconventional formation evaluation. Reads las files and creates a pandas dataframe of the log data. Includes a basic petrophysical workflow and a simple log viewer based on XML templates.
A modular, extendable, and easy-to-use physics engine for javascript
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A template utility for R projects that provides a skeletal project.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Business analytics using R and Shiny
To submit R programming assignment 2
Python module + R package to predict the reactions to a given text using a pretrained recurrent neural network.
Peer Assessment 1 for Reproducible Research
Introduction Storms and other severe weather events can cause both public health and economic problems for communities and municipalities. Many severe events can result in fatalities, injuries, and property damage, and preventing such outcomes to the extent possible is a key concern. This project involves exploring the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database. This database tracks characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property damage.
:cloud: Simple R interface to forecast.io weather data
R Library to easily extract data from the Google Analytics API into R
R package development - the Leek group way!
RStudio is an integrated development environment (IDE) for R
Forecast an Oil Well using FB Prophet Package in R
forecast of a NYE stock using new ML package "forecast" from facebook
sandbox for Project Survival Analysis
oepn-source feature selection repository in python (DMML Lab@ASU)
scikit-learn: machine learning in Python
Code that goes along with my screencasts.
SFrame, SArray, SGraph
Machine Learning algorithms implemented from scratch
Some functions for visualizing output from the "kohonen" R library
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
💫 Jupyter notebooks for spaCy examples and tutorials
A free tutorial for Apache Spark.