Misc Statistics and Machine Learning codes in R
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Updated
Mar 20, 2021 - R
Misc Statistics and Machine Learning codes in R
The Fashion-MNIST dataset and machine learning models.
Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
Predict respiratory patient mortality in ICU units using the MIMIC III database
Codes written in the course of a data science workshop at KIT in cooperation with FZI
An analysis of the time spending habits of American consumers.
There are many different types of SVMs in this repository.
This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.
The project concerns an international e-commerce company* based in the USA who want to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers.
Classification of spondylodiscitidis vs metastasis in the spine using multiple approaches in R
Built different models to predict the risk for Prudential Life Insurance to its possible applicants based on their medical history
Capstone project #2 for the Harvard University Professional Certificate in Data Science
Using machine learning algorithms like support vector machines, artificial neural networks and random forest to predict airline customers satisfaction
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
Implementation of machine learning algorithms in R Programming language
This repository contains various assignments that I have done as a part of the Machine Learning course.
An introduction to support vector machines in R
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