tidy_data project

R exercises (2016)

Estimate tumor enrichment from methylation array data.

This is a fraudulent user detecting Kaggle competition. We developed a classification model based on Random Forest to predict when a user downloads a specific app through advertised apps. This data set contained 200 million observations which can be considered as big data. We implemented many feature engineering and data preprocessing techniques…

Detecting hidden batch factors through data adaptive adjustment for biological effects

R package for data cleaning and pre-processing for data science

Methylation array preprocessing.

This repo has the project codes and documentation for the project related to Semiconductor manufacturing dataset in coursework of Engineering Data Analysis

Preprocessing imbalanced rainfall data using Apache Hadoop framework and give predictive statistics of rainfall data using R

This R package is for medical staff such as pharmacists to use for preprocessing clinical data.

Thesis data, see README.md

Customizable Higher-Order Recipe Step Functions

A package with a simple function for fast preprocessing of data for machine learning

Exercises From Book "Applied Predictive Modeling" by "Kuhn and Johnson (2013)"

In this project I make machine learning models to predict market value of professional football player from the "Complete FIFA 19 dataset" from Kaggle. It contains a pdf with the results, a youtube video of me explaining it, the codes and a read me file. Enjoy :)

Extensions and extras for tidy processing.

Learn R from scratch

An R software for Gene Co-Expression Analysis

Tools for pre-processing high-throughput animal tracking data.