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)

Richter's Predictor: Modeling Earthquake Damage Challenge 0.7521 Scored Solution

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)

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

Warm Up: Predict Blood Donations

DengAI: Disease spread prediction(DrivenData Challenge)

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…

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

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.

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.

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

Mini Competition: Richter's Predictor

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

DrivenData Challenge

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.