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advanced-python-chicago-taxi-data

attention-based-neural-machine-translation-system-

Machine Translation

awari

Designated and implemented Alpha-Beta pruning algorithm to play a two-player game called Awari.

categorization-bbc-news-articles

Designated Naïve Bayes classifier for categorizing news articles from BBC news dataset.

ccm

cloudwine

A scalable wine recommendation engine

command-line-tutorial

computational-cognitive-modeling

customer-based-churn-prediction

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.

datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

fair-sslime

FAIR Self-Supervised Learning Integrated Multi-modal Environment (SSLIME)

frequent-item-set-based-recommendation

Part of recommendation platform from receipts. Adopted A priori algorithm to enable dietary supplements promotion.

handwritten-digits-classification

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.

image-recognition-for-autonomous-driving

A model that can produce a top-down view of the surrounding area of an ego car

insight_project_framework

Framework for machine learning projects at Insight Data Science

insight_stress_analysis

kingsknightmare

Designed game strategy for the knight to capture the king using A* Search while avoiding all obstacles on the chessboard;

learn2relax

Stress Detection on Social Media

loan-risk-prediction

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.

logistic-regression

nlp_dl_lecture_note

nlp_hw1

ptsafall2019

pytorch-customdataset-fasterrcnn

Pytorch based FasterRCNN for custom dataset

rnn-cnn-based-natural-language-inference

Trained RNN- and CNN-based models to tackle the Stanford Natural Language Inference (SNLI) task.

skincare-product-use-optimization

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.

timeseries2018

Course page for DS-GA 3001.001 Modeling Time Series Data

user-based-collaborative-recommendation

extracting & sorting dimensional- reduced data from 6k customer info with K-means clustering algorithm implemented.