jm3mendez Goto Github PK

app-consumer-loan

bigdatademos

Demo programs for Hadoop etc.

bigtop

Mirror of Apache Bigtop

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cv

profesional Resume

datasciencecoursera

first repo

datasharing

The Leek group guide to data sharing

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

demos

Demos for several data science tools, products and services that SparkIQ Labs uses.

exdata_plott1

gettingandcleaningdata

Project Getting Cleaning Data

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)

learningmachine

Describing a case with HAR data and RAndomForest LM method to predit the classe

models

Models built with TensorFlow

myshinyapp3

Shiny app area

pig-samples

Collection of Pig scripts that I use for my talks and workshops

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

programmingpig

Data and example code for Programming Pig, by Alan F. Gates

pydicom

Read, modify and write DICOM files with python code

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

shiny-examples

spark

Mirror of Apache Spark

spark-scala-maven-boilerplate-project

This is a skeleton of a Scala project with maven to start using Spark

spark-training

Spark training material

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

suitesparse

A shallow fork of SuiteSparse adding build files for Visual Studio and support for ACML

swirl_courses

:mortar_board: A collection of interactive courses for the swirl R package.

tensorflow-tutorials

Simple tutorials using Google's TensorFlow Framework

tflearn

Deep learning library featuring a higher-level API for TensorFlow.

webinars

Code and slides for RStudio webinars