Films Web App • MAY 2021
I implemented Films Web App using datasets provided by TMDB API.
Projects
Films Android App • MAY 2021
I implemented Films Android App using datasets provided by TMDB API .
Visualization on datasets from the Correlates of Wars • DEC 2018
We visualized military expenditures of top-10 spenders, information concerning militarized interstate disputes, wars, and international trade using datasets provided by the Correlates of Wars. A chart demonstrates the relationship between the number of countries at war and the total amount of international trade. We designed and developed the web application on Node.js, and front-end interface using Angular written in JavaScript and Bootstrap CSS framework. The responsive and interactive charts were implemented with D3.js to discover data features.
Peceptron Learning, Pocket algorithm, Logistic Regression, and Linear Regression • OCT 2017
I implemented the Perceptron learning, Pocket algorithm, Logistic regression, and Linear regression with Matlab.
Iterative Dichotomiser 3 (ID3) • SEP 2017
I implemented the ID3 with Matlab.
K-means clustering and Gaussian Mixture Model • SEP 2017
I implemented the K-means clustering and Gaussian Mixture Model with Matlab.
PCY AND SON algorithm with Apriori • MAR 2018
I implemented PCY AND SON algorithm with Apriori with Python.
CURE algorithm • MAR 2018
I implemented CURE algorithm with Python.
Liver Transplant Data Analysis • MAY 2018
We analyzed a dataset provided by the Department of Surgery at USC’s Keck School of Medicine, so as to identify features associated with graft survival after orthotopic liver transplantation. Neural networks and SVM were utilized to predict graft survival after Orthotopic liver transplantation using pre-transplant features. The machine learning algorithms were implemented with Python and Keras library.
Android Application Development • MAY 2017
We developed an Android application (in Java) for the USC community, which includes students, faculty, and alumni, to recommend good resources in the USC campus and share their extraordinary experiences. We used Firebase as the database to store all the data and resource.
Hyperlink-induced topic search (HITS) and Spectral Clustering • APR 2018
I implemented the HITS with Apache Spark. I also made the spectral clusting with python.
Movie recommender system • MAR 2018
I implemented a movie recommendation with matrix factorization approach and so on with Apache Spark.
Hidden Markov Models • DEC 2017
I implemented the Hidden Markov Models with Matlab.
Neural Networks • NOV 2017
I implemented the Neural Network with Matlab and Python.
Support Vector Machines • NOV 2017
I implemented the Support Vector Machines with Matlab.
Principal Component Analysis (PCA) • OCT 2017
I implemented the PCA with Matlab.