Pinned Repositories
APM_Faces_Proj
Examining bias in VGG-Face through the lens of age and gender prediction to encourage the development of fair, accountable, and transparent machine learning.
clase2
data
Data and code behind the articles and graphics at FiveThirtyEight
ejemplos
fastai-v3
Computer Vision: Sneaker brand identifier using resnet34 and resnet50
geonamescache
geonamescache - a Python library for quick access to a subset of GeoNames data.
Metro-UI-CSS
CSS styles for build Windows 8 Metro UI stylable interface
practical-sql
Code and Data for the book "Practical SQL" by Anthony DeBarros, published by No Starch Press (2018).
TextAnalytics
Twitter NLP and decision: applied topic and sentiment analysis on tweets about NFL to indicate expansion opportunities
TXDOT-Traffic-Incident
Exploring the trends in traffic for 10 years in Austin, TX
coldonline's Repositories
coldonline/APM_Faces_Proj
Examining bias in VGG-Face through the lens of age and gender prediction to encourage the development of fair, accountable, and transparent machine learning.
coldonline/clase2
coldonline/data
Data and code behind the articles and graphics at FiveThirtyEight
coldonline/ejemplos
coldonline/fastai-v3
Computer Vision: Sneaker brand identifier using resnet34 and resnet50
coldonline/geonamescache
geonamescache - a Python library for quick access to a subset of GeoNames data.
coldonline/Metro-UI-CSS
CSS styles for build Windows 8 Metro UI stylable interface
coldonline/practical-sql
Code and Data for the book "Practical SQL" by Anthony DeBarros, published by No Starch Press (2018).
coldonline/quotesbot
This is a sample Scrapy project for educational purposes
coldonline/TextAnalytics
Twitter NLP and decision: applied topic and sentiment analysis on tweets about NFL to indicate expansion opportunities
coldonline/TXDOT-Traffic-Incident
Exploring the trends in traffic for 10 years in Austin, TX
coldonline/R
R exercises and examples
coldonline/TeamsLCFC
Mixing teams and games records
coldonline/tensorflow-101
TensorFlow 101: Introduction to Deep Learning for Python