Gender recognition by voice and speech analysis

🎓 Tidy tools for academics

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

R/Rcpp implementation of the 'Follow-the-Regularized-Leader' algorithm

An R package to calculate Elo ratings

This project aims to predict the type 2 diabetes, based on the dataset. It uses machine learning model,which is trained to predict the diabetes mellitus before it hits.

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

A series of articles to get started into the field of Machine Learning with R language

FAST Change Point Detection in R

Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.

This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc

Tools for binning data

Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning

This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.

A workflow of tidyverse(glm -> broom -> ggplot)

A Bioconductor package and shiny app for DNA methylation data length bias adjustment in gene set testing

A set of projects I worked on as part of my PG Diploma in Data Science Program

📈 Evaluation of the Predictive value of short-term Oliguria and minor Creatinine increases for Acute Kidney Injury in ICU

Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using R