Ken Tu's repositories
face_rating
Face/Beauty Rating with both the traditional ML approaches and Convolutional Neural Network Approach
NBA-BasketballStats
High Accuracy of NBA game outcome & team performance prediction and outstanding player detection.
DeveloperTriage
Developer Triage Bot as task delegating bot in a team or during a project!
cnn_age_prediction
Through Facebook user posts, implementing the traditional way of text analytics with SVM along with using convolution neural network to predict age
age_clustering
Unsupervised Learning/Clustering for Age Prediction through user's Facebook Network Graph
sentiment_citation
Model with Dimensionality Reduction with performing SMOTE and Tuning will get comparable results comparing with off-the-shelf models in Sentiment Analysis of Citations (Athar 2011).
SentimentAnalysis
Two ML approaches for Sentiment Analysis
YelpBusinessesRecommender
Build a Recommendation System that suggests businesses to users based on the location, stars, category, reviews and business hours.
ai-se.github.io
ai-se ncstate website
How-to-Learn-from-Little-Data
This is the code for "How to Learn from Little Data - Intro to Deep Learning #17' by Siraj Raval on YouTube
recmetrics
A library of useful metrics and plots for evaluating recommender systems
SoftwareScience-
Foundation of Software Sciences Class