Jingyi-Luo
M.S. in Data Science at University of Virginia|Seeking Full-Time Data Scientist Roles
University of VirginiaCharlottesville, VA
Pinned Repositories
Aerial_Cactus_Detection_Using_CNN
A CNN model was built using TensorFlow to predict whether a low-resolution image contains a cactus.
Blogger_Age_Prediction_Using_Linear_Regression
Data_Visualization_for_Features_Comparison_Using_D3.js
The HTML file is developed using the JavaScript library D3.js to dynamically show and compare the features between different groups of patients
Digit_Recognizer_With_MNIST_Data_Using_FFNN
A feed forward neural network (FFNN) is built to recognize the gray-scale images of hand-drawn digits from zero through nine using tensorflow.
DS6003_Apache_Spark
Exploring_Earthquake_Forecasting_Logistic_Regression_Random_Forest
Multiclass_Cuisine_Detection_Using_RNN
A RNN model was built using TensorFlow to detect a cuisine type from 20 classes based on the ingredients of recipes from the JSON-formatted dataset.
Prediction_of_Patients_Deterioration_in_Cardiac_Wards
A super learner was built by stacking logistic regression, random forest, and gradient boosting models (XGBoost) to predict whether a patient in the cardiac wards needs to be transferred to ICU.
Stock_Price_Movement_Prediction_RNN_CNN_FFNN
The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using transaction data from the Limit Order Book (LOB).
Surface-Wave_Waveform_Classification_Using_ML
The logistic regression, K-nearest neighbors, support vector machine, and artificial neural network (ANN) algorithms were developed to automatically classify seismic observations.
Jingyi-Luo's Repositories
Jingyi-Luo/Stock_Price_Movement_Prediction_RNN_CNN_FFNN
The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using transaction data from the Limit Order Book (LOB).
Jingyi-Luo/Surface-Wave_Waveform_Classification_Using_ML
The logistic regression, K-nearest neighbors, support vector machine, and artificial neural network (ANN) algorithms were developed to automatically classify seismic observations.
Jingyi-Luo/Prediction_of_Patients_Deterioration_in_Cardiac_Wards
A super learner was built by stacking logistic regression, random forest, and gradient boosting models (XGBoost) to predict whether a patient in the cardiac wards needs to be transferred to ICU.
Jingyi-Luo/DS6003_Apache_Spark
Jingyi-Luo/Multiclass_Cuisine_Detection_Using_RNN
A RNN model was built using TensorFlow to detect a cuisine type from 20 classes based on the ingredients of recipes from the JSON-formatted dataset.
Jingyi-Luo/Aerial_Cactus_Detection_Using_CNN
A CNN model was built using TensorFlow to predict whether a low-resolution image contains a cactus.
Jingyi-Luo/Blogger_Age_Prediction_Using_Linear_Regression
Jingyi-Luo/Data_Visualization_for_Features_Comparison_Using_D3.js
The HTML file is developed using the JavaScript library D3.js to dynamically show and compare the features between different groups of patients
Jingyi-Luo/Digit_Recognizer_With_MNIST_Data_Using_FFNN
A feed forward neural network (FFNN) is built to recognize the gray-scale images of hand-drawn digits from zero through nine using tensorflow.
Jingyi-Luo/Exploring_Earthquake_Forecasting_Logistic_Regression_Random_Forest
Jingyi-Luo/facenet
Face recognition using Tensorflow
Jingyi-Luo/Google_Analytics_Customer_Revenue_Prediction_Using_Random_Forest
Jingyi-Luo/House_Prices_Prediction_Using_KNN
Jingyi-Luo/keras-facenet
Facenet implementation by Keras2
Jingyi-Luo/MoormanLab
Jingyi-Luo/nn-from-scratch
Implementing a Neural Network from Scratch
Jingyi-Luo/Open-Data-Lab
an initiative to provide infrastructure for reproducible workflows around open data
Jingyi-Luo/Produce_Full_Work_Reports_from_Multiple_Reporting_Files
Use SAS scripts to produce a full work report with hours worked, project type, whether completed, and start/end dates by integrating different incomplete reports.
Jingyi-Luo/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Jingyi-Luo/Titanic_Survivor_Classification_Using_Random_Forest
Jingyi-Luo/UVA_Coupons
A backend database on MySQL and a frontend application were built to develop a website called UVA Coupons. People can browse online coupons, and post and search local coupons in Charlottesville, VA.
Jingyi-Luo/YOLO
YAD2K: Yet Another Darknet 2 Keras