There are 1 repository under drivendata topic.
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
42nd (top 5%) place solution of On Cloud N: Cloud Cover Detection Challenge competition
Solution for DengAI Competition by DrivenData (CS4642 Data Mining and Information Retrieval, CS4622 Machine Learning - assignments)
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-blood-donations/
This repository utilizes Machine Learning to solve the water crisis problem in Tanzania. This is one of the best use cases for machine learning to be used in the social causes helping people.
This repository contains source code and pre-trained models for the 2nd place solution of the Overhead Geopose Challenge.
Tomada de decisão e o planejamento estratégico na coleta e na análise de informações.
Warm Up: Predict Blood Donations
DengAI: Disease spread prediction(DrivenData Challenge)
Workings for my entry for the competition https://www.drivendata.org/competitions/57/nepal-earthquake/
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.
U3 - AI&BA - M2 TBS - Final repo for Shiny Project
Demo repo for DrivenData competition "Flu Shot Learning: Predict H1N1 and Seasonal Flu Vaccines" in R
Predict which water pumps in Tanzania are functional, needs repair and which don't work to help maintain waterpoints and deliver clean water in Tanzania.
Exploratory data analysis and model preparation for DrivenData contest: PumpItUp!
My notebook on the flu shot competition on drivendata.org
The goal is to predict the last column, whether he/she donated blood in March 2007.
👷♀️🚰 🇹🇿 DrivenData ML contest to classify water pumps in Tanzania
Deep Chimpact: Depth Estimation for Wildlife Conservation Solution by Team RTX 4090 (1st place)
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.
DrivenData Challenge
Code for the "STAC Overflow" competition on DrivenData.
A data analysis as part of a challenge on drivendata.org which aims to find some correlations and predict how likely individuals are to receive their H1N1 and seasonal flu vaccines.
This is my repository for the Pale Blue Dot: Visualization Challenge
Segmentation of clouds using satellite imagery
Data files and code for the Driven Data project on predicting which water pumps need repair for about 60K water pumps in Tanzania. See the URL https://www.drivendata.org/competitions/7/pump-it-up-data-mining-the-water-table/
My explorations, visualizations, and models from the DrivenData.co DengAI competition
Implemented a machine learning model to predict the likelihood of individuals receiving H1N1 and seasonal flu vaccinations and ranked 46 in the Driven Data out of 6500+ competitors.
Machine Learning with a Heart
A Machine Learning based solution for the competition 'Flu Shot Learning' hosted by DrivenData