R functions

This repo contains project(s) from the Marketing Analytics course.

Integrative modeling of psi, gene expression and mutations in MDS cases using autoencoders

Bayes Classifier for Verbal Autopsy Data

Exploratory and Descriptive Data Analysis on Indonesian data using R. This project involves reading data, feature analysis, correlation analysis, logistic regression, PCA, MDS, and clustering. Visualizations include boxplots, scatter plots, corrgrams, and dendrograms. Comprehensive report available in report.docx.

Dimensionality reduction

Workshop on tidytranscriptomics: Performing tidy transcriptomics analyses with tidybulk, tidyverse and tidyheatmap

A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.