albert-z-guo Goto Github PK

airbnb-price-evaluator

Our goal in this project was to gain insight into the world of Airbnb market dynamics. There are several different ways to accomplish this goal, but more specifically, we attempted to predict the price for any Airbnb given standard measures such as the location of the listing, and the features that any particular Airbnb offers.

algorithms

Work on all kinds of algorithms, including sorting, randomized, graph search, greedy, dynamic programming, knapsack problem, traveling salesman problem, etc.

artificial-intelligence

Common classic algorithms in AI, including Forward-chaining algorithm in knowledge representation and reasoning; A*, minimax, alpha-beta pruning algorithms in informed search, and Bayes' Rule for inference

automatic-construction-and-natural-language-description-of-nonparametric-regression-models

A project to explore how statistical models are used to generate data set explanation, and produce detailed reports with natural-language text and figures

c-binance-future-quant

c-programming

C Programming Projects

cern-machine-learning-research

work on vector boson scattering signal and background events classification at the European Organization for Nuclear Research (CERN)'s ATLAS experiment of the Large Hadron Collider (LHC)

computational-finance

Some C++ programming projects for pricing and risk managing financial instruments in equities, fixed income, and credit

computational-physics

Simulation of the 2D Ising model (magnetic dipole moments of atomic spins in lattice) at the critical temperature using Metropolis algorithm and Wolff algorithm

coursera-machine-learning

Machine Learning, Stanford via Coursera

coursera-machine-learning-classification

Machine Learning: Classification, UCSD visa Coursera

data-structures

Java Programming Projects

deep-reinforcement-stock-trading

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

eye-track

Eye-tracking hack

facial-recognition

A project to explore state-of-the-art facial recognition models and test deployment on cloud and on premises

geospatial-vision-and-visualization

goettingen-high-performance-scientific-computing-research

Work on the rate measurement of falsely identified hadronically decaying tau leptons at the European Organization for Nuclear Research (CERN)'s ATLAS experiment of the Large Hadron Collider (LHC)

hierarchical-attention-networks-for-document-classification

A modern implementation of a 2016 NAACL paper Hierarchical Attention Networks for Document Classification

id3-decision-tree-learning-algorithm

Implementation of a variant of ID3 decision tree learning algorithm with recursive PostOrder reduced-error pruning and missing attributes handling

kaggle-competition-solutions-and-data-science-projects

Kaggle’s TalkingData AdTracking Fraud Detection Competition Solutions and LendingClub Data Science Project

krr_final_project

Project for Knowledge Representation and Reasoning using Companion Cognitive Systems built by the Qualitative Reasoning Group at Northwestern University

law-and-governance-of-ai

An exploration to enhance financial markets regulation through trading pattern detection algorithms for the U.S. stock markets

natural-language-processing

Natural Language Processing Projects that include Golden Globes Awards Identification via Tweets with tasks to detect hosts, awards, winners, nominees, and awards presenters; and Recipe Transformer which parse a recipe from Allrecipes.com and transform the recipe to different styles.

networking

Some tools and protocols reimplemented to gain better understanding of modern computer networking

news-articles-search-engine

A news articles search engine with complete frontend and backend hosted on Amazon Web Services (AWS) using CloudWatch, Lambda, SQS, Elasticsearch, Elastic Beanstalk, and S3

porter-stemmer

Implementation of the Porter's Stemming Algorithm based on its original author Martin Porter's paper

product-recommendation

A modern implementation of a 2010 paper Application of a Gaussian, Missing-Data Model to Product Recommendation in TensorFlow.

statistical-language-modeling

Statistical Language Modeling Projects that include implementation of the classic paper A Neural Probabilistic Language Model by Yoshua Bengio and adaptation of Wojciech Zaremba's Recurrent Neural Network Regularization TensorFlow implementation for Number Token Perplexity Measurement

techcrunchhackathon

VISIT APP

web-economics

Several application-based machine learning projects (Sponsored Search Auction, Spam Classifier, Real-time Ads Bidding Click-through Rate Estimation)