Statistics class project aimed at studying the relationship between temperature and other attributes such as humidity, pressure, etc in Szeged, Hungary to build effective predictive models.

friendly UI to create linear models

This repository showcases a model that has been developed to support a paediatric consultant that predicts whether a new born baby will be of low birth weight (<2500g) based on various characteristics of the mother.

A web application implementing models to predict ICU admission for COVID-19 patients based on clinical, laboratory and imaging parameters

The competition was organized by Columbia University's Applied Analytics Program. The competition's goal was to build a model using the provided dataset and use it to predict the price of a set of Airbnb rentals contained in the rating data file. After cleaning and transforming the data, I split the data and trained them with linear regression, …

Class Projects

Performing Artificial Neural Networks (ANN) to classify malignant and benign tumors in breast cancer patients.

Implementation of data exploration using ggplot, data visualization and machine learning algorithms for predictive modelling.

Optimal Experiment Design of microbial inactivation experiments

MIS 545 Data Mining Project - Predicting Music Genres based on musical attributes using R and predictive algorithms.

This project uses R for a statistical analysis of car data to predict performance using multiple metrics

a project for peer assignment in Predictive Modelling course of Clinical Data Science Specialization on Coursera.

A comprehensive predictive model to assist Saudi Aramco in reducing methane emissions as part of its sustainability efforts. The project integrates statistical analysis with advanced modeling techniques to forecast emission levels and suggest actionable steps for reduction.

This project is to predict credit card customer default risk using data from April to September 2005 for customers in Taiwan. It involves preprocessing the data, including cleaning and transforming, and employing algorithms like Apriori for association analysis and Random Forest for modeling to predict next month's defaulters.

Code and data accompanying the article "Atolls are globally significant sites for tropical seabirds".

Which client will subscribe to a term deposit? - Predictive Analytics on the imbalanced Bank Marketing data.

🌽Predictive Modeling

Investment simulation and visualization app made with R