Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Unsupervised learning! Using Principal component analysis for dimension reduction and Clustering analysis.

Exploratory Principal Component Analysis

The HotellingEllipse package helps draw the Hotelling's T-squared ellipse on a PCA or PLS score scatterplot by computing the Hotelling's T-squared statistic and providing the ellipse's x-y coordinates, semi-minor, and semi-major axes lengths.

Interval-Valued Principal Component Analysis and Anomaly Detection

I use R to analyze survey data to position popular consumer electronics brands using Principal Component Analysis, uncovering key perceptual attributes and providing insights for targeted marketing strategies.

Enhanced Portfolio Optimization (EPO)

Source code written in R to implement multivariate analysis methods. Covering principal component analysist, factor analysist, clustering, manova, and so on.

Generalized Ridge Trace Plots for Ridge Regression

Fast truncated singular value decompositions

This repository contains all experimental data, including every respondent's survey, the final data set in Excel or CSV format, and the analysis code in R.

Compute various geospatial neighborhood deprivation indices

Environmental Interpolation using Spatial Kernel Density Estimation

Interpretation of RNAseq experiments through robust, efficient comparison to public databases

computational multivariate statistics course, scripts for data analysis and classification

Machine learning educational projects.

Using R, R Markdown

A Data Science Portfolio for potentially interested employers and recruiters.