33 results for “topic:data-challenge”
A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.
My Data Competition Solutions
Toolkit for building predictive workflows on top of pydata (pandas, scikit-learn, pytorch, keras, etc.).
Scripts for exploring emotions in GitHub messages
No description provided.
This challenge organized by ENS Ulm and Collège de France was about predicting mean return of cluster's assets relatively to the bitcoin during the last hour of the day, given the last 23 hours.
This challenge organized by ENS Ulm and Collège de France was about predicting real estate prices with tabular data and images.
Some collection of codes that are used in data mining and data science related fields, developed by me
A healthcare data analysis project for the April 2025 DataDNA Challenge by Onyx Data. Built entirely in Excel, the project explores patient demographics, medical conditions, hospital trends, and insurance billing. Includes full insights, visuals, and a technical report.
Scripts used for analyzing GitHub commit locations to create a map visualization
Analyzing click-through rates from Wikimedia
Collection of some of my Power BI reports I made for data challenges or as personal projects
Submission tool for the 2nd Roman microlensing data challenge
Santander Data Challenger 2020 Hackathon Project
Ribbon app performance analysis is from the July 2023 Numerist Data Challenge.
This was a data challenge I did as part of interview prep at Insight
Data Analytics Challenge by Datayolk
🌟 Track your personal challenges and boost your consistency with this simple web app designed for effective Frontend Development learning.
No description provided.
No description provided.
Data Analysis using Unsupervised Learning on Lyft dataset
SQL script to answer the past "365 Learning Data Challenge"
No description provided.
2017 French Presidential Elections Forecast : France, like many countries, operates by the system of universal suffrage. During each vote, the results are final when all the votes have finished being counted. But some estimation can be made on the final results during the day. This challenge proposes to explore models allowing to predict the results using only half of the votes. This type of challenge is part of all the economic issues that are seeing a revival with the arrival of machine learning methods. With the increase of available data in open access, it is possible to better model complex economic problems. This challenge therefore aims on the one hand to improve the estimate of the election results and on the other hand to propose an original model allowing to capture the multiple dimensions of this problem.
Data Challenge leading to "A Multidisciplinary Lens of Bias in Hate Speech" (ASONAM 2023)
Carolina Data Challenge Report
This is a repository for the solution to a murder mystery using Structured Query Language (SQL).
This repo contains scripts to process data from the GitHub Archive to participate in the GitHub Data Challenge.
No description provided.
Cryptocurrency AI prediction model