data-challenge

A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.

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

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

Analyzing click-through rates from Wikimedia

Santander Data Challenger 2020 Hackathon Project

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

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

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 Analysis using Unsupervised Learning on Lyft dataset

Carolina Data Challenge Report

This repo contains scripts to process data from the GitHub Archive to participate in the GitHub Data Challenge.

Analysis of "Pymoli" in-game purchasing data into meaningful insights with Jupyter Notebook, Pandas, and Python 3.