This report gives an overview of the various machine learning algorithms implemented to detect certain comments that may appear insulting to another participant on a social networking platform. Feature selection was performed using n-grams, and the WEKA machine learning toolkit was used to build supervised learning clasifiers, that provided an accuracy of 82% on the test dataset. The dataset was obtained from the popular data science competition portal, Kaggle.
The contributions from conduction, convection, and radiation for an end-heated aluminum rod were quantified with experimental considerations in mind. Multiple experiments were carried out to ascertain various physical properties of the system and the aluminum rod. By applying heat-flow theory, simulations, and data-fitting techniques, the specific heat capacity, conductivity, emissivity, convective heat transfer coefficient of the system, and thermal contact resistance between the power source and aluminum rod were determined.
This examples shows how to get started with Adobe's Minion Pro fonts on Overleaf. The approach is simply to upload the Minion Pro OTF file(s) you need to Overleaf via the project menu, and then include them in your document using the fontspec package for XeLaTeX.
This template for submissions to the Journal of Statistical Software (JSS) was downloaded from the journal's website.
There are templates for articles, code snippets, book reviews and software reviews. To use these for your own submission, open this template, and set the appropriate file to be your main file by right-clicking on them in the file list:
See README.txt and jss.pdf within this template for further information on how to use the template for your own submission.