Significant Network Interval Mining

A modern Fortran statistical library.

Customer base analysis is concerned with using the observed past purchase behavior of customers to understand their current and likely future purchase patterns. More specifically, as developed in Schmittlein et al. (1987), customer base analysis uses data on the frequency, timing, and dollar value of each customer's past purchases

This repository is a fork of a repository originally created by Lucas Descause. It is the codebase used for my Master's dissertation "Reinforcement Learning with Function Approximation in Continuing Tasks: Discounted Return or Average Reward?" which was also an extension of Luca's work.

This repository will include Python | Jupyter-Notebook statistical testing | tests and analysis. Highly useful for in depth data analysis & model development.

Multivariate analysis (MVA) of high dimensional heterogeneous data

GUI app for doing sliding window Z-score transformations of quantitative proteomics data

MATLAB functions for Beta distribution test

Statistical Modelling and Data Visualization of a Climate Change Dataset (January 1984 to December 2008 ) Sourced from Kaggle

Yeast TMT data - 3 different carbon sources (from Gygi lab) analyzed with PAW pipeline and MaxQuant

Analysis of proportions using Anscombe transform

🐟 Statistical analysis of fish dimensions and weights implemented into linear regression (Ordinary Least Squares) predictive model

Analysis of factors affecting learning performance based on a data set from Learning Management System software. Conducted with R language.

Battery analysis project

Analyzing biological networks using statistical testing to uncover significant differences in protein distributions based on functional relationships.

Conducted an in-depth analysis of credit card defaulters, performing Exploratory Data Analysis (EDA) and statistical testing to identify key trends and assess risk. Developed insights to support decision-making for loan management strategies.

Quantium Virtual Experience Program hosted by Forage

A group seminar analyzing the relationship between citizens' average height and a country's Olympic success. The project involved data collection, descriptive statistics and statistical testing. Created and presented as part of the mandatory undergraduate Statistics course in spring 2021.