drivendata

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

Unreal Text Engine - Work in progress

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

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.

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

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

Warm Up: Predict Blood Donations

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

DengAI: Disease spread prediction(DrivenData Challenge)

Predicting water pump status in Tanzania (functional / needs repair / non-functional) for the DrivenData Pump It Up competition. Random Forest → Stacking Ensemble pipeline with feature engineering, class imbalance strategies, and an AI-powered EDA agent built with LangGraph + LangChain.

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.

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

Classify Pumps into “functional”, “functional needs repair” or “Non-functional” categories based on a number of variables about what kind of pump is operating, when it was installed, and how it is managed, etc.