There are 2 repositories under predictive-models topic.
Use AutoAI to detect fraud
Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*
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
we proposed a software defect predictive development models using machine learning techniques that can enable the software to continue its projected task.
Portfolio of course work for my Master's in Data Science.
Supporting code for https://www.biorxiv.org/content/10.1101/796714v4
Plotly Dash HTML Python Flask site for user to interact with a trained machine learning model to predict the round-trip cost of flights — based on 9 million 2018 Domestic Flight Prices in the United States.
Course Project for UCSD ECE143: Programming for Data Analytics
Machine Learning Introductory Course
Mix of good tools for portfolio analysis
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.
Reproduce Predictive Models of Fire via Deep learning Exploiting Colorific Variation (ICAIIC2019) with Pytorch
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.
Our Economic Forecasting Model leverages Genetic Algorithms and Random Forests to provide farmers, policymakers, and businesses with cutting-edge insights for informed, profitable decisions in the ever-changing world of agriculture.
This repository contains code for predicting the price of mobile phones using regression models. It includes the implementation of various regression techniques such as Random Forest Regression, Decision Tree Regressor, Linear Regression, and Lasso Regression.
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.
An explainable inductive learning model on gene regulatory and toxicogenomic knowledge graph (under development...)
Implementation of timeseries predictive models with public transport data.
Predictive Modeling Project for League of Legends Dataset
Statistical analysis of animal shelter intakes and outcomes from Dallas Animal Services, and a fullstack app for predicting animal outcomes based on intake variables.
Built predictive machine learning models to determine whether a given transaction will be fraudulent or not using transactional data
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.
Timeseries data analysis and forecasting using Python
Application of predictive models on a real data set of the obstetric medicine field and methods of interpretability on the previously fitted XGBoost model.
This repository contains coursework for the Business Analytics Foundations course in the MS Applied Business Analytics program at Boston University.
This repository contains code for predicting the price of mobile phones using regression models. It includes the implementation of various regression techniques such as Random Forest Regression, Decision Tree Regressor, Linear Regression, and Lasso Regression.
Uses machine learning to analyze e-commerce data, uncover insights, and offer actionable suggestions
In this project, I utilize the Insurance US dataset to predict health insurance costs based on various input features, enabling insights into the factors influencing insurance charges.