davestroud/AWS_Spot_Research

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davestroud/AWS_Spot_Research

davestroud

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LSTM models used to determine AWS Spot Instance price direction.

Algorithm_Fundamentals

Compilation of algorithms.

BeerStudy

The Beers dataset contains a list of 2410 US craft beers and Breweries dataset contains 558 US breweries.

Linear_Algebra_SMU

Linear Algebra Course at SMU

Q-Learning

Q-Learning and Deep Q-Learning Demo

XGBoost_Tutorial

Jupyter Notebook

Reinforcement_Learning_v1

Jupyter Notebook

Wine

stroud_nyx_project

Jupyter Notebook

Docker_Demo

nyx

MXNet_Tutorial

Jupyter Notebook

AmesHousingPrices

Ames Housing Prices Competition ~ SMU Data Science

RedHat_Kaggle

Kaggle competition for Predicting Red Hat Business Value

CPP_Templates

C++ Programming Language Examples

MoneyBall

Project that focuses on using Data Science to determine wins and losses in baseball.

Azure_MLE_Course

Jupyter Notebook

Support_Material_Masters_Students

Homeland_Security

Improve the accuracy of the Department of Homeland Security's threat recognition algorithms

Jupyter Notebook

Python-tutorial

Jupyter Notebook

Spark_Demo

AWS_Spot

Code for research in SMU Data Science Review

Jupyter Notebook

Wikipedia_Web_Traffic

Forecasting the future values of multiple time series, as it has always been one of the most challenging problems in the field. More specifically, we aim the competition at testing state-of-the-art methods designed by the participants, on the problem of forecasting future web traffic for approximately 145,000 Wikipedia articles.

Jupyter Notebook