sahanasub Goto Github PK
Name: Sahana Subramanian
Type: User
Bio: MS in Business Analytics - University of Texas at Austin
Location: Austin, Texas
Name: Sahana Subramanian
Type: User
Bio: MS in Business Analytics - University of Texas at Austin
Location: Austin, Texas
Project on 3D Object Detection using Lyft's level5 dataset. Obtained mAP of 0.045 on the private leader board on kaggle and ranked in the top 20% among all teams participated in the competition.
Project on analysis of ~10 million rows parking violations in NYC to explore the factors that might help prevent getting ticketed in NYC | The data was obtained from NYC Open Data and implemented in PySpark on DataBricks platform
Public facing notes page
Programming practice from Coursera
A repository for various mini-projects as a part of my curriculum or personal interest | Includes data visualization, market segmentation, author attribution, portfolio modeling and association rule mining
Project on engagement and stock price analysis of CEOs on Twitter. Extracted the data from Twitter API and Yahoo Finance and implemented sentiment analyzer, topic modeling (LDA), stock price regression and engagement analysis to determine the factors that make a CEO influential
Project on google play store app analysis (sizing and pricing strategy) | Bigram analysis of user reviews to discern patterns in user behavior and attributes of good/bad apps | Popularity prediction (install count) using random forest, decision trees and logistic regression
Project on building implicit recommendation systems for Meetup | Built memory-based and model-based collaborative filtering (ALS and Logistic matrix factorization) recommendation engines using implicit feedback signals like RSVP count and timedelta | Data related to groups, events, members and RSVP extracted from Meetup API
Fit interpretable machine learning models. Explain blackbox machine learning.
STA 380: Predictive Modeling
Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.
A repository for projects related to text mining and natural language processing (NLP)
Project on multi-label classification of satellite images of Amazon rain forest using Deep Learning | Implemented deep CNN architectures along with haze removal techniques to achieve a F2 score of 0.9257 (top 20% of the Kaggle competition leaderboard)
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.