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Name: Elena Ivanova
Type: User
Bio: Ph.D. in Computational Chemistry from Marquette University in Milwaukee, United States
Location: Los Angeles
Name: Elena Ivanova
Type: User
Bio: Ph.D. in Computational Chemistry from Marquette University in Milwaukee, United States
Location: Los Angeles
Use Spark for analysis of Big Data (part of Data Scientist Nanodegree)
Use customer segmentation report demographics data for customers of a mail-order sales company to distinguish customer's cluster
DSND Capstone project
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Machine learning pipeline that categorizes messages by event to send it to appropriate disaster relief agency.
Contains files related to content and project of DSND
Contains files related to content and project of DSND Term 2
Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.
Built and trained image classifier to recognize different species of flowers.
This notebook serves as final project for the "How to win a data science competition" Coursera course.
Created and trained neural network for different image classification problems
Findings from Stackoverflow 2017
VIP cheatsheets for Stanford's CS 229 Machine Learning
My fist repo. Tested README.md commit
Used wine review data from Kaggle collected in 2017 to analyze variety, quality and price of wine. Employed wordcloud to visualize wine description for different countries. Created machine learning model to predict wine quality.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.