Explanatory Model Analysis. Explore, Explain and Examine Predictive Models

Use AutoAI to detect fraud

Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*

we proposed a software defect predictive development models using machine learning techniques that can enable the software to continue its projected task.

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

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.

Machine Learning Introductory Course

Course Project for UCSD ECE143: Programming for Data Analytics

quotex python candle prediction trading signals

Recurrent Dynamic Graph Mapper using GNN

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.

Mix of good tools for portfolio analysis

Simulation of the 2026 FIFA World Cup using a Monte Carlo approach, combining historical achievements, FIFA rankings, team form, and modern football tactics. The model explores which teams are best adapted to modern tournament football under extreme variance, giving insights into favorites and potential dark horses.

Reproduce Predictive Models of Fire via Deep learning Exploiting Colorific Variation (ICAIIC2019) with Pytorch

A few-shot learning approach to forecasting the evolution of the brain connectome.

AI Powered Health Prediction with Feedback training

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.