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Name: Young Sim
Type: User
Bio: Data Scientist / Data Analyst; M.A. Mathematics @ Columbia University
Location: New York, New York
Name: Young Sim
Type: User
Bio: Data Scientist / Data Analyst; M.A. Mathematics @ Columbia University
Location: New York, New York
TensorFlow code and pre-trained models for BERT
Modified BERT for Q-A task
EDA and baseline linear regression, Random Forest, XGBoost, and LightGBM in Python using BigQuery public data. Finding trends, identifying problems, and making predictions.
Collaborative filtering based on probabilistic matrix factorization in Python. For post-processing, KNN and Kernel Ridge Regression are used to construct the second regression terms.
Baseline boosted decision stump and improved soft voting classifier (combining LGBM, Random Forest, Logistic Regression, and linear SVM) in Python to predict emotions from face images.
R Shiny App development using NYC Open Data. The interactive web app lets users explore different areas in New York to see how the living environments are like.
Consumer complaint classification in collaboration with IBM: LSTM model that predicts product category of a complaint to make comment submission process simple.
Kaggle bike sharing demand prediction competition using baseline random forest and improved LGBM
Kaggle Facebook Human Or Bot competition using Random Forest model.
Kaggle SF crime classification competition using LGBM
Programming for Quantitative and Computational Finance
Used techniques like permutation importance, partial dependence plots, and SHAP values in Python to extract human-understandable insights from the model.
Processed and analyzed customer data, revenue data, and log data in Python to find insights and make decisions.
Online coding tests/data science challenges
Used clustering algorithms in Python to create a diversified portfolio to reduce volatility and reduce the overall risk of an investment portfolio.
Homework assignments and final project (Blackjack)
Recitation notes for cs3157, the C systems programming course with a narrative
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.