Name: Julia Sokolova
Type: User
Company: @GalvanizeDataScience
Bio: I love understanding how things work. Connecting the dots, drawing parallels and recognizing patterns are my all-time favorite mind games.
Twitter: Jools_S
Location: Seattle, WA
Blog: http://emeraldmktg.us/
Julia Sokolova's Projects
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
In 2017, Emmanuel Macron and Marine Le Pen were the final two candidates in the French Presidential Election. The two candidates had drastically different approaches to governing, and as such, the election was a major topic of discussion on Twitter.
Analyzed results of several advertising campaign of big consumer brands on amazon.com to look for potential ways of optimization to improve ROIs.
Predicting the final prices of auction items
Churn rate prediction for a ride-sharing company in San Francisco.
Twitter Analysis on Top countries - Health Department regarding COVID19 virus update since the first case detected as on 31/12/19 in China. The Study includes, World Health Organisation twitter data, plus, UK, India, USA, and Australia's health department twitter account analysis.
Test project
data-scientists-tools-course-project
The Leek group guide to data sharing
My goal was to use reinforcement learning and AWS DeepRacer service to train a virtual racing car drive itself.
Using electric vehicle charging data, I explore when drivers are likely to plug in their cars, and how much additional electricity demand that will create when the number of electric cars increases.
A toy repo for DSI week 0
julia version of 100 numpy exercises
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
100 numpy exercises (with solutions)
Repository for Programming Assignment 2 for R Programming on Coursera