Usage of string kernels as part of a project for the course Kernel-Based Machine Learning and Multivariate Modeling
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Updated
Dec 27, 2016 - R
Usage of string kernels as part of a project for the course Kernel-Based Machine Learning and Multivariate Modeling
Analytics Vidya practice dataset for loan prediction
Implementation of machine learning algorithms in R Programming language
NanoString classifier based on NGS training set
NanostrIng MB cLassifiEr
This repository contains various assignments that I have done as a part of the Machine Learning course.
We compared the predictive accuracy and sparsity of support vector machines and relevance vector machines for a range of synthetic data sets differing in signal-to-noise ratio and other measures of difficulty.
To develop a predictive model that is quicker, less labor-intensive for new and existing customers and to accurately classifies risk using an automated approach.
RapidEye image classification
The Fashion-MNIST dataset and machine learning models.
Predict respiratory patient mortality in ICU units using the MIMIC III database
Support vector machines flexible framework
Built different models to predict the risk for Prudential Life Insurance to its possible applicants based on their medical history
An introduction to support vector machines in R
Stock Market Prediction using Machine Learning done as a final year university project. It uses LSSVR to train the model and is programmed in R
Support Vector Machine
An investigation into why on-ground students choose to take online equivalents of their in-person courses
Portfolio of machine learning projects
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