scottherford
Southern Methodist University MSDS Graduate Student
Southern Methodist UniversityRogers, AR
Pinned Repositories
Barley-House
Ames Housing Prices: Advanced Regression Techniques
BlockchainDatabase
Blockchain Analysis: Blockchain technology is at the heart of bitcoin and is increasingly being developed for use in a broad range of financial applications. The goal of this project is to provide a survey and tutorial on blockchain technology. The project and writeup will include an evaluation of an experimental blockchain database.
breastCancer
Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image.
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.
DEEP-LEARNING-practical-introduction-with-Keras
DEEP-LEARNING-practical-introduction-with-Keras
EducationDataNC
The Belk Endowment Educational Attainment Data Repository for North Carolina Public Schools
IDC_BreastCancer
Breast cancer is the most common form of cancer in women, and invasive ductal carcinoma (IDC) is the most common form of breast cancer. Accurately identifying and categorizing breast cancer subtypes is an important clinical task, and automated methods can be used to save time and reduce error. The goal of this script is to identify IDC when it is present in otherwise unlabeled histopathology images. The dataset consists of approximately five thousand 50x50 pixel RGB digital images of H&E-stained breast histopathology samples that are labeled as either IDC or non-IDC. These numpy arrays are small patches that were extracted from digital images of breast tissue samples. The breast tissue contains many cells but only some of them are cancerous. Patches that are labeled "1" contain cells that are characteristic of invasive ductal carcinoma. For more information about the data, see https://www.ncbi.nlm.nih.gov/pubmed/27563488 and http://spie.org/Publications/Proceedings/Paper/10.1117/12.2043872.
Python-3-Notebooks-Scripts
swirl_courses
:mortar_board: A collection of interactive courses for the swirl R package.
Tensorflow-BC-Master
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well. It is used by major companies all over the world, including Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, SAP, Qualcomm, IBM, Intel, and of course, Google!
scottherford's Repositories
scottherford/IDC_BreastCancer
Breast cancer is the most common form of cancer in women, and invasive ductal carcinoma (IDC) is the most common form of breast cancer. Accurately identifying and categorizing breast cancer subtypes is an important clinical task, and automated methods can be used to save time and reduce error. The goal of this script is to identify IDC when it is present in otherwise unlabeled histopathology images. The dataset consists of approximately five thousand 50x50 pixel RGB digital images of H&E-stained breast histopathology samples that are labeled as either IDC or non-IDC. These numpy arrays are small patches that were extracted from digital images of breast tissue samples. The breast tissue contains many cells but only some of them are cancerous. Patches that are labeled "1" contain cells that are characteristic of invasive ductal carcinoma. For more information about the data, see https://www.ncbi.nlm.nih.gov/pubmed/27563488 and http://spie.org/Publications/Proceedings/Paper/10.1117/12.2043872.
scottherford/Tensorflow-BC-Master
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well. It is used by major companies all over the world, including Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, SAP, Qualcomm, IBM, Intel, and of course, Google!
scottherford/Barley-House
Ames Housing Prices: Advanced Regression Techniques
scottherford/BlockchainDatabase
Blockchain Analysis: Blockchain technology is at the heart of bitcoin and is increasingly being developed for use in a broad range of financial applications. The goal of this project is to provide a survey and tutorial on blockchain technology. The project and writeup will include an evaluation of an experimental blockchain database.
scottherford/breastCancer
Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image.
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/MSDSQTW
MSDS 7333 Case Studies
scottherford/Python-3-Notebooks-Scripts
scottherford/SMU_Capstone
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.
scottherford/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.
scottherford/EducationDataNC
The Belk Endowment Educational Attainment Data Repository for North Carolina Public Schools
scottherford/atom
:atom: The hackable text editor
scottherford/awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
scottherford/Bayesian_Statistics_Python
Using Bayesian Statistical Methods in Python
scottherford/Beers-Breweries
MSDS 6306 Case Study 1 Beers & Breweries
scottherford/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
scottherford/gapminder
Excerpt from the Gapminder data, as an R data package and in plain text delimited form
scottherford/HealthcareStroke
scottherford/ICIAR2018
Our solution for ICIAR 2018 Grand Challenge
scottherford/metasploit-framework
Metasploit Framework
scottherford/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.
scottherford/Pandas_Scripts
Useful Pandas Scripts for Data Preprocessing/Data Cleaning
scottherford/Python-ML-DS-Master
Example python scripts for machine learning and data science tasks.
scottherford/rtlscasestudy
Predicting Location via Indoor Positioning Systems
scottherford/StartupDataScience
scottherford/ThinkBayes2
Text and code for the second edition of Think Bayes, by Allen Downey.
scottherford/zero_to_deep_learning_udemy
Repository for the Zero to Deep Learning™ Video Course on Udemy