First place solution for Open Cities DrivenData challenge

1st place solution of Team Epoch on the Kelp Wanted competition hosted on DrivenData.

Solution for N+1 fish, N+2 fish DrivenData competition (2nd place)

Estimating the extent of Giant Kelp Forests by segmenting Landsat imagery

Solution for DengAI Competition by DrivenData (CS4642 Data Mining and Information Retrieval, CS4622 Machine Learning - assignments)

"Pump It Up: Data Mining the Water Table" competition from DrivenData. Análisis exploratorio, procesamiento de datos y modelado predictivo aplicados para clasificar el estado funcional de bombas de agua en Tanzania.

42nd (top 5%) place solution of On Cloud N: Cloud Cover Detection Challenge competition

This repository contains source code and pre-trained models for the 2nd place solution of the Overhead Geopose Challenge.

Demo repo for DrivenData competition "Flu Shot Learning: Predict H1N1 and Seasonal Flu Vaccines" in R

Warm Up: Predict Blood Donations

DengAI: Disease spread prediction(DrivenData Challenge)

Based on aspects of building location and construction, was made a MLP (MuiltiLbal Perceptron) to predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal.

Blood donation has been around for a long time. The first successful recorded transfusion was between two dogs in 1665, and the first medical use of human blood in a transfusion occurred in 1818. Even today, donated blood remains a critical resource during emergencies. More info on : https://www.drivendata.org/competitions/2/warm-up-predict-bloo…

Implemented a machine learning model to predict the likelihood of individuals receiving H1N1 and seasonal flu vaccinations and ranked 20 in the Driven Data out of 7500+ competitors.

Workings for my entry for the competition https://www.drivendata.org/competitions/57/nepal-earthquake/

Tomada de decisão e o planejamento estratégico na coleta e na análise de informações.

A Machine Learning based solution for the competition 'Flu Shot Learning' hosted by DrivenData

DrivenData Challenge

QUANT NANGGROE AI is an advanced Quantitative Research Operating System designed to eliminate psychological bias and AI narrative in financial market decision-making. It implements a Deterministic Decision Intelligence framework where LLMs function as constrained reasoning engines over raw no. data

playing with https://www.drivendata.org and https://www.kaggle.com