scottherford
Southern Methodist University MSDS Graduate Student
Southern Methodist UniversityRogers, AR
scottherford's Stars
rapid7/metasploit-framework
Metasploit Framework
jtoy/awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
ethereum/wiki
The Ethereum Wiki
joelgrus/data-science-from-scratch
code for Data Science From Scratch book
AllenDowney/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
rhiever/datacleaner
A Python tool that automatically cleans data sets and readies them for analysis.
baidu-research/NCRF
Cancer metastasis detection with neural conditional random field (NCRF)
oreillymedia/doing_data_science
This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)
jakevdp/sklearn_scipy2013
Scikit-learn tutorials for the Scipy 2013 conference
bgweber/StartupDataScience
alexander-rakhlin/ICIAR2018
Our solution for ICIAR 2018 Grand Challenge
eclarson/DataMiningNotebooks
This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.
SMUDataScience/Visualization-1
jherford/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
CaseyRMartinez/SMU_Capstone
johnsanterre/my_utils
junk drawer for utils until they are organized...
scottherford/Barley-House
Ames Housing Prices: Advanced Regression Techniques
scottherford/DEEP-LEARNING-practical-introduction-with-Keras
DEEP-LEARNING-practical-introduction-with-Keras
scottherford/labs
Rmd source files for the HarvardX series PH525x
scottherford/MSDS6390-DataViz
Data Visualization Project
scottherford/Python-3-Notebooks-Scripts
scottherford/SMU_Capstone
scottherford/stat6306introdatascience
Files and projects for Stat 6306 Introduction to Data Science
scottherford/tensorflow-GoogleCloud
TensorFlow is quickly becoming the technology of choice for deep learning, because of how easy TF makes it to build powerful and sophisticated neural networks. The Google Cloud Platform is a great place to run TF models at scale, and perform distributed training and prediction.