drivendata
There are 1 repository under drivendata topic.
qubvel / open-cities-challenge
First place solution for Open Cities DrivenData challenge
Language:Jupyter Notebook 46- iv-q2-detect-kelp
TeamEpochGithub / iv-q2-detect-kelp
1st place solution of Team Epoch on the Kelp Wanted competition hosted on DrivenData.
Language:Jupyter Notebook 13 ZFTurbo / DrivenData-Identify-Fish-Challenge-2nd-Place-Solution
Solution for N+1 fish, N+2 fish DrivenData competition (2nd place)
Language:Python 13Goodsea / Richter-s-Eye
Richter's Predictor: Modeling Earthquake Damage Challenge 0.7521 Scored Solution
Language:Jupyter Notebook 7- kelp-wanted-competition
xultaeculcis / kelp-wanted-competition
Estimating the extent of Giant Kelp Forests by segmenting Landsat imagery
Language:Python 6 aleksandrinvictor / drivendata-cloud
42nd (top 5%) place solution of On Cloud N: Cloud Cover Detection Challenge competition
Language:Python 2umstek / DengAI
Solution for DengAI Competition by DrivenData (CS4642 Data Mining and Information Retrieval, CS4622 Machine Learning - assignments)
Language:Jupyter Notebook 2AlexandreGazagnes / Driven-Data-Blood-Donations
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/
Language:Python 1avirichie / Classification-of-Water-Pumps-in-Tanzania--based-on-their-working-condition-
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.
Language:Jupyter Notebook 1- DrivenData-2021-Geopose-Solution
BloodAxe / DrivenData-2021-Geopose-Solution
This repository contains source code and pre-trained models for the 2nd place solution of the Overhead Geopose Challenge.
Language:Python 1 enzogms / dataDriven-py
Tomada de decisão e o planejamento estratégico na coleta e na análise de informações.
Language:Jupyter Notebook 1ngbolin / BloodDonations
Warm Up: Predict Blood Donations
Language:Jupyter Notebook 1nikhilt1998 / DrivenData-DengAI-Predicting-Disease-Spread
DengAI: Disease spread prediction(DrivenData Challenge)
Language:Jupyter Notebook 1pat42w / Richters_predictor
Workings for my entry for the competition https://www.drivendata.org/competitions/57/nepal-earthquake/
Language:Jupyter Notebook 1wyctorfogos / Richter-s-Predictor-Modeling-Earthquake-Damage
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.
Language:Jupyter Notebook 113w13 / U3_Msc-AI-and-BA_A_Shiny_App_for_the_Millenium_Development_Goals
U3 - AI&BA - M2 TBS - Final repo for Shiny Project
Language:R 0adalseno / Flu-Shot-Learning-Predict-H1N1-and-Seasonal-Flu-Vaccines_R
Demo repo for DrivenData competition "Flu Shot Learning: Predict H1N1 and Seasonal Flu Vaccines" in R
Language:HTML 0AmmarJawad / Predicting-Water-Pumps-in-Tanzania
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.
Language:Jupyter Notebook 0ecvsgl / MLproject-DrivenData-PumpItUp
Exploratory data analysis and model preparation for DrivenData contest: PumpItUp!
Language:Jupyter Notebook 0iPablo26 / Driven-Data-Flu-Shot-Competition
My notebook on the flu shot competition on drivendata.org
Language:Jupyter Notebook 0jantar44 / blood-donation
The goal is to predict the last column, whether he/she donated blood in March 2007.
Language:Python 0- Language:Jupyter Notebook 0
murphy-xq / drivendata-water-pumps
👷♀️🚰 🇹🇿 DrivenData ML contest to classify water pumps in Tanzania
0Najib-Haq / deep-chimpact-1st-place-solution
Deep Chimpact: Depth Estimation for Wildlife Conservation Solution by Team RTX 4090 (1st place)
Language:Python 0parasraorane / Pump-it-up
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.
Language:Jupyter Notebook 0plasmagirl / Data-Mining-the-Water-Table
DrivenData Challenge
Language:Jupyter Notebook 0stefanistrate / drivendata-stac-overflow
Code for the "STAC Overflow" competition on DrivenData.
Language:Jupyter Notebook 0- Language:Jupyter Notebook 0
arthur-fontaine / flu-shot-learning
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.
Language:Jupyter Notebookg-r-a-e-m-e / pale-blue-dot-visualization-challenge
This is my repository for the Pale Blue Dot: Visualization Challenge
Language:JavaScript- Cloud-Segmentation
JafarBadour / Cloud-Segmentation
Segmentation of clouds using satellite imagery
Language:Jupyter Notebook jhmuller / DD_water_pumps
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/
Language:Jupyter Notebookjlehrer1 / DengAI
My explorations, visualizations, and models from the DrivenData.co DengAI competition
Language:Jupyter NotebookKarthi-DStech / Predicting-H1N1-and-Seasonal-Flu-Uptake
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.
Language:Jupyter NotebookKasumiL5x / driven-machine-learning-with-a-heart
Machine Learning with a Heart
Language:Jupyter NotebookUdeshAthukorala / Flu-Shot-Learning
A Machine Learning based solution for the competition 'Flu Shot Learning' hosted by DrivenData
Language:Jupyter Notebook
