High performance implementation of the Naive Bayes algorithm in R

[Completed] Classification Report using K-Nearest Neighbors, Random Forests, and Logistic Regression.

prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.

Identification and Classification of the Most Influential Nodes

Implementation of multiclass classification problems in R

Advanced Machine Learning course taught at Linköping University. Learned how Machine Learning models can be utilized to solve regression and classification problems within the AI field.

Dataset containing radio frequencies, geo-locations, and habitat types for Oregon frogs

Classification

Business Analytics Project: Building predictive models for job change prompention (Grade: 15/20)

Code on my Internship project in DDL lab

To predict baby birthweight using regression and classify baby birthweight groupings (Low, Normal, Overweight) using classification with machine learning techniques.

Classification using R

Classifying credit applicants with 9 different ML models

Class projects

R, Classification, Stepwise Variable, A/B Testing

This project was conducted at UT Tyler Data Analytics Lab with the goal of using historical patient data and neural networks to predict future opioid abuse.

Built a logistic regression model and a classification tree model for predicting the final status of a loan based on various variables available. Confusion matrix and misclassification rate for each model for a test dataset. Variables that appear to be important for predicting outcome. Plotted and described the ROC curves and AUC for the four mo…

Regular Expression Counts of Terms and Substrings

Using Decision Tree to predict Employee Attribution

It's a little knowledge base using some scripts that I faced in my professional life.