Machine Learning through R Shiny (MLtRS) is open source server level web application developed by using RShiny. The application right now supports the following algorithms.
I. Supervised Learning
- Logistic regression
- kNN
- SVM
- Decision Trees
- Random Forests
- Naive Bayes Classifier
- Neural Networks
II. Unsupervised Learning
- PCA
- Gaussian Mixture Modeling
- Novelty & Outlier Detection
- Fuzzy C-Means Clustering
- Manifold Learnign (MDS) [yet to be implemented]
The application depends on following packages:
- shiny
- shinydashboard
- nortest
- mvnormtest
- MASS
- shinyLP
- class
- gmodels
- caret
- rattle
- ranger
- klaR
- kernlab
- micad
- e1071
- NeuralNetTools
- neuralnet
- nnet
- mclust
You need to know how to install packages in R. Refer to https://www.r-bloggers.com/how-to-install-packages-on-r-screenshots/ for information on installing packages in R/RStudio.
Video demonstration:
https://www.youtube.com/watch?v=ffQQINaBjYY&t=4s
Feel free to write to me @ kamakshaiah.m@gmail.com or call me +919177573730 for training and consultancy.