Jorge Garcia's repositories
must-read-papers-for-ml
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Building-a-Linear-Heatmap
Building a Linear Heatmap for Routes
Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
ddsr
Source code for the book "Doing Data Science in R" by Mark Andrews (SAGE publishers, 2021)
BDS-articles
Article code from Better Data Science and Medium
2015
Public material for CS109
Developing-Data-Products
Coursera -Developing Data Products
libro-vivo-ciencia-datos
Un libro open-source con un enfoque intuitivo y práctico en machine learning, con análisis y preparación de datos, ¡apto para todas las edades!
Model_Random_Forest
Classification and regression based on a forest of trees using random inputs, utilizing conditional inference trees as base learners.
RepData_PeerAssessment1-1
Peer Assessment 1 for Reproducible Research
Reproducible_Research
Reproducible Research
ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
Exploratory-Data-Analysis-
A Course Project for the Data Science Specialization
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
coursera-r-programming
coursera-r-programming
datasciencecoursera
Course Project The Data Scientist’s Toolbox repo called datasciencecoursera
datasharing
The Leek group guide to data sharing