README.md
In bharathmb/Propensity-Model: OpenCPU Application
User friendly end-to-end automated tool which helps in solving the binary classification problems using Machine learning algorithms.
The tool also performs preprocessing and data cleaning on the dataset which is a prerequisite before modelling.
The tool also makes use of the opensource feature selection package HYBRIDFS in R along with an analysis module to look at important features in the dataset using univariate/bivariate plots.
Modelling the problem is now easy with the tool which provides options to use algorithms such as Logistic Regression, RandomForest, Naive-Bayes and SVM.
The tool also allows Scoring new datasets in the future using the models created .
bharathmb/Propensity-Model documentation built on June 11, 2019, 1:31 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
User friendly end-to-end automated tool which helps in solving the binary classification problems using Machine learning algorithms.
The tool also performs preprocessing and data cleaning on the dataset which is a prerequisite before modelling.
The tool also makes use of the opensource feature selection package HYBRIDFS in R along with an analysis module to look at important features in the dataset using univariate/bivariate plots.
Modelling the problem is now easy with the tool which provides options to use algorithms such as Logistic Regression, RandomForest, Naive-Bayes and SVM.
The tool also allows Scoring new datasets in the future using the models created .
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.