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

Some collection of codes that are used in data mining and data science related fields, developed by me

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.

Scripts used for analyzing GitHub commit locations to create a map visualization

Analyzing click-through rates from Wikimedia

Ribbon app performance analysis is from the July 2023 Numerist Data Challenge.

Santander Data Challenger 2020 Hackathon Project

Spot-Map, redefining decision making in a distanced society; 1st place in the retail / leisure category for the UCSD COVID-19 data challenge

This was a data challenge I did as part of interview prep at Insight

Data Analytics Challenge by Datayolk

Data Challenge leading to A Multidisciplinary Lens of Bias in Hate Speech

SQL script to answer the past "365 Learning Data Challenge"

Data Analysis using Unsupervised Learning on Lyft dataset

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 res…