Analyzing transactions of a retailer to predict promotional items.
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Updated
Jan 10, 2017 - R
Analyzing transactions of a retailer to predict promotional items.
ITM883 Capstone project
Shiny app que emplea SVM sobre datos de entrenamiento
This is the repository for CKME136 Ryerson Big Data Certificate
SVM model predicting if passengers would survive the Titanic's maiden voyage
App that aims to predict user keystrokes using SVM.
Variable selection for nonlinear support vector machines via elastic net penalty
SVM app
Practice Code (R Codes)
This project demonstrates a collection of Data Science techniques using R. These include Data Analysis, Data Cleaning, Data Visualization, Support Vector Machines, Euclidean Distance, and K-Means Clustering.
NanostrIng MB cLassifiEr
This scripts tries to predict the bioactivity of 131 compounds related to Aspartate Racemase enzyme with the aid of decision trees and SVM
A machine learning project applying Support Vector Machines (SVM) to predict passenger survival in the Titanic disaster, as part of Kaggle's renowned competition. This study explores various SVM techniques to analyze passenger data and develop an accurate predictive model for the classic machine learning challenge.
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