Portfolio of course work for my Master's in Data Science.
-
Updated
Jun 6, 2020 - R
Portfolio of course work for my Master's in Data Science.
Predictive Modeling Project for League of Legends Dataset
An explainable inductive learning model on gene regulatory and toxicogenomic knowledge graph (under development...)
This repository contains coursework for the Business Analytics Foundations course in the MS Applied Business Analytics program at Boston University.
we proposed a software defect predictive development models using machine learning techniques that can enable the software to continue its projected task.
This project aims to analyze trends in the Paycheck Protection Program and to generate predictive models based on demographics to predict the likelihood of receiving a loan.
This repo guides you to to build predictive models of Titanic survival, including data-viz & pre-processing, feature analysis, building predictive models and performance evaluation.
Machine learning to predict future number Covid19 Daily Cases (7-day moving average). Long Short Term Memory (LSTM) Predictor and Reinforcement Learning (RL) Prescription with Oxford Dataset
Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*
Timeseries data analysis and forecasting using Python
Implementation of timeseries predictive models with public transport data.
Built predictive machine learning models to determine whether a given transaction will be fraudulent or not using transactional data
Recurrent Dynamic Graph Mapper using GNN
Supporting code for https://www.biorxiv.org/content/10.1101/796714v4
A few-shot learning approach to forecasting the evolution of the brain connectome.
Trabajo de Fin de Grado del Grado de Ingeniería Informática, realizado en la Escuela Técnica Superior de Ingeniería Informática de la Universidad Politécnica de Madrid.
Course Project for UCSD ECE143: Programming for Data Analytics
Statistical analysis of animal shelter intakes and outcomes from Dallas Animal Services, and a fullstack app for predicting animal outcomes based on intake variables.
Use AutoAI to detect fraud
Mobile Air Quality Monitoring System (MAQMS) - An IoT Network of Air Quality Monitoring stations connectes to Azure cloud to provide insights and predictive models of air quality in Mexico City.
Add a description, image, and links to the predictive-models topic page so that developers can more easily learn about it.
To associate your repository with the predictive-models topic, visit your repo's landing page and select "manage topics."