lbose Goto Github PK
Type: User
Bio: Experienced data science professional, seeking challenging opportunities in the data space. Interested in machine learning, algorithms and applied statistics.
Location: Melbourne, VIC, Australia
Type: User
Bio: Experienced data science professional, seeking challenging opportunities in the data space. Interested in machine learning, algorithms and applied statistics.
Location: Melbourne, VIC, Australia
A comparison of bankruptcy prediction models using GLM, GAM and RPART
A pivot table and pivot chart report using VBA for comparing student grants across two universities. This code is the proprietary work of University of Cincinnati, Ohio, USA. This can be used only for academic purposes. Reproduction of any part of this course will require permission from the author.
A collection of public datasets for supervised machine learning research.
A collection of publicly available datasets
Finding the complete plugboard settings for the plain-text cipher text pair by using the Enigma machine code written in C++. This code is the proprietary work of University of Cincinnati, Ohio, USA. This can be used only for academic purposes. Reproduction of any part of this course will require permission from the author.
Two essays on Mathematical Optimization for Residential Demand Response in the Energy Sector, completed as part of doctoral dissertation. Details at: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511860511116905
In this paper, the objective is to predict corporate bankruptcy for the manufacturing sector in North America across differing time horizons i.e. one year ahead, two years ahead, three years ahead, four years ahead and five years ahead of the actual event of default. A logistic regression model is used for forecasting bankruptcy. SAS is used for programming. This code is the proprietary work of University of Cincinnati, Ohio, USA. This can be used only for academic purposes. Reproduction of any part of this course will require permission from the author.
Forecasted Quarterly Freight Volume using an ARIMA (0,1,1) model for 12 periods using SAS. This code is the proprietary work of University of Cincinnati, Ohio, USA. This can be used only for academic purposes. Reproduction of any part of this course will require permission from the author.
Principal Component Analysis performed on a U.S. air pollution data set.
A Tableau Visualization on the Potential of Demand Response (DR) in the US, based on 2018 data.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.