zacharyvunguyen

AI-for-Medical-Diagnosis

AI-for-Medicine-Specialization

My solutions to Quizzes and Programming Assignments of the specialization.

aiops_project22

Create a machine learning system from start to finish

Applied-Generative-AI

Explore the frontiers of generative AI with our solution on Google Cloud Platform, utilizing Vertex AI to transform extensive documentation into interactive, intelligent responses.

Brain-Tumor-MR-Image-Classification-using-Transfer-Learning-with-EfficientNet-

In this project, we developed and deployed a classifier for four different types of brain tumor MR images: Glioma, Meningioma, Pituitary and No Tumor. Utilizing the method of transfer learning and EfficientNet B3, the final model achieved an accuracy rate of 99.23%

CloudScore-Analytics--GCP-Driven-Soccer-Data-Engineering-Suite

An advanced data engineering project utilizing GCP to automate and orchestrate soccer stats analysis. It integrates Python, Cloud Functions, BigQuery, and Tableau, demonstrating cutting-edge skills in cloud-based data pipeline management and visualization.

End-to-End-Heart-Disease-Classification

Developed and deployed a classifier for heart disease based on 45 machine-learning models, achieving accuracy and recall of 99.6% using a tuned stacking classifier (model)

End-to-End-Vertex-AI-Pipeline-for-Fraud-Detection

This Vertex AI Pipeline orchestrates the selection, deployment, and real-time monitoring of the highest-performing machine learning model from a pool of candidates. Designed to support a dynamic and collaborative model development environment, it ensures that only the most accurate and relevant models are deployed for fraud detection tasks.

Langchain-Series

Welcome to the Langchain Series! This repository explores the integration of large language models (LLMs) with external data sources, enhancing their capabilities to create robust AI applications.

Production-Ready-ML-Pipeline-on-GCP-Baby-Weight-Prediction

In this project, I developed a completed Vertex and Kubeflow pipelines SDK to build and deploy an AutoML / BigQuery ML regression model for online predictions. Using this ML Pipeline, I was able to develop, deploy, and manage the production ML lifecycle efficiently and reliably.

zacharyvunguyen/AI-for-Medicine-Specialization

My solutions to Quizzes and Programming Assignments of the specialization.

zacharyvunguyen/DataAnalytic

zacharyvunguyen/DATAVIZ_PROJECT

zacharyvunguyen/Davidson_Country_Crashes_2018_Analytics

zacharyvunguyen/Davidson_Nashville_2018_Crashes

zacharyvunguyen/DecisionTreeRandomForest

zacharyvunguyen/DS_Topics

Recent works

zacharyvunguyen/FINAL_PROJECT_2019

zacharyvunguyen/GCP-Big-Data-ML

Notes for the Google Cloud Platform Big Data and Machine Learning Fundamentals course.

zacharyvunguyen/learnreactjs2020

zacharyvunguyen/LinearRegressionIntro

Introduction to Linear Regression

zacharyvunguyen/LogisticRegression

zacharyvunguyen/projectsite.github.io

zacharyvunguyen/react-complete-guide

React Complete Guide

zacharyvunguyen/TensorFlowIntroduction

zacharyvunguyen/UFO-Sightings

Javascript

zacharyvunguyen/untitled

zacharyvunguyen/zacharyvunguyen.github.io

1st github site