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UBDA USEr 3

A. UBDA Computing Intensive Service

Data Transfer from a User System to UBDA Platform

 UBDA - Data Transfer

Python examples for ML/DL

 

Category

Example

Techniques

Examples Details

Deep Learning

Deep learning using cotton images

Deep learning, tensorflow, sequential, CNN, binary labels

 Readme

Deep learning using ball images

Deep learning, tensorflow,sequential, CNN, multi-labels

 Readme

Deep learning using chest xray images

TensorFlow, binary labels, prediction (neural network)

 Readme

Deep learning using traffic sign images

TensorFlow, multi-labels, prediction (neural network)

 Readme

Classification

Classification analysis of student information

Linear Regression, Decision Trees, Logistic Regression, Random Forest

Neural Networks, Support Vector Machines

 Readme

Classification analysis for flower images

Logistic Regression, Linear Discriminant Analysis, K-Nearest Neighbors, Decision Trees,

Random Forests, Gaussian Naive Bayes and Support Vector Machine

 Readme

Clustering

Clustering analysis using K-means

k-means

 Readme

Text Analysis

Text analysis using nltk for sentiment prediction

CountVectorizer, Tfidf, Sentiment Prediction (naive_bayes)

 Readme

Convex Optimization

Convex optimization using CVXPPY for portfolio optimization

Portfolio optimization, Linear Programming

 Readme

Convex optimization using CVXOPT for floor planning

Floor planning, Linear Programming

 Readme 


Demo Video


Basic operation in ubdaplatform (Student / Staff)

B. UBDA Big Data Service

a. Virtual Machine

b. Online JupyterLab Development Tool with GPU User Guide

Demo Video


Basic operation in ubdalab (Student / Staff)