Here are some projects that I have done.
Credit Card Fraud Detection
Created a classification model to detect fraud transactions with accuracy of 97% and F1 score of 80%.
Worked imbalanced dataset with 0.72% of fraud transactions by using XGBoost and SMOTE. code
Created a classic MNIST model with 5 convolution neural network with accuracy of 99.7%. code
NLP Tweet Disaster Detection
Created a NLP model to detect tweets with disaster alerts.
Implemented data preprocessing, data cleaning, Classifier methods, Logistics Regression with Grid Search CV to find the best parameters.
Implemented BERT model using TFHub with accuracy of 82.8%. code
Web Whiteboard - 3rd place
This is our Code Jam 2020 Hackathon project with Diego Lopez and Khoi Nguyen.
The webiste worked well with both mouse and touch pen. code
Modified MNIST - 1st place
Worked in a team with Ricky Chen, Peter Guanhua Rong for MAIS202 Kaggle Compeition.
Created algorithm with 5 layers convolution neural network to identify the largest numerical value in pictures that contains 3 handwritten numerical digits.
Implemented Image Data Generator using Keras library with some data preprocessing methods which allowed us to reach the accuracy of 98%. code