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Name: Trie_Vangogh
Type: User
Bio: Master of Data Science @ NYU Bachelor of Mathematics & Computer Science @ UW-Madison
Name: Trie_Vangogh
Type: User
Bio: Master of Data Science @ NYU Bachelor of Mathematics & Computer Science @ UW-Madison
Machine Translation
Designated and implemented Alpha-Beta pruning algorithm to play a two-player game called Awari.
Designated Naïve Bayes classifier for categorizing news articles from BBC news dataset.
A scalable wine recommendation engine
Structured prediction model that predicts lifecycle of active accounts and filtered out attrition accounts based on simulation to help retaining customer churn rate and maintaining market share of the company.
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
FAIR Self-Supervised Learning Integrated Multi-modal Environment (SSLIME)
Part of recommendation platform from receipts. Adopted A priori algorithm to enable dietary supplements promotion.
Developed a multi-layer, feed-forward neural network and trained it using back-propagation algorithm to handle multi-class classification for recognizing images of handwritten digits.
A model that can produce a top-down view of the surrounding area of an ego car
Framework for machine learning projects at Insight Data Science
Designed game strategy for the knight to capture the king using A* Search while avoiding all obstacles on the chessboard;
Stress Detection on Social Media
Built decision tree for categorical attributes and 2-class classification tasks from a risk loan dataset to predict the risk quality of a loan application.
Pytorch based FasterRCNN for custom dataset
Trained RNN- and CNN-based models to tackle the Stanford Natural Language Inference (SNLI) task.
This project is designed to optimize the use of personal skin care product use. Personal skin care products are created to meet the demand for better skin. The market now is full of different products which makes it difficult for consumers to decide their choice. In this project, we will build a model to help consumers plan their usage and use an example to illustrate the process.
Course page for DS-GA 3001.001 Modeling Time Series Data
extracting & sorting dimensional- reduced data from 6k customer info with K-means clustering algorithm implemented.
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.