Zachary Vu Nguyen's repositories
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.
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.
BigQuery-Machine-Learning-Predicting-Boolean-Values-Using-Binary-Logistic-Regression
Machine Learning using BigQuery
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.
Skin-Cancer-Detection-with-Transfer-Learning-Deep-CNN
By utilizing Transfer Learning method, we will build Deep Convolutional Neural Networks for detecting three major skin cancers: Basal Cell Carcinoma, Melanoma, and Nevus.
Bank_Loan_Approval_Using_Artificial_Neural_Nets
In this project, we aim to build and train a deep neural network model to predict the likelihood of liability customers (depositors) buying personal loans based on customer features such as age, experience, income, location, family, education, existing mortgage, credit cards, etc.
Diabetic_Retinopathy_Detection_Using_Artificial_Intelligence
Using Artificial Intelligence to detect Diabetic retinopathy - the leading cause of blindness in the working-age population of the developed world. It is estimated to affect over 93 million people.
Generative-AI---Gemini
Generative AI - Gemini is an advanced AI project leveraging generative models and Google Cloud Platform (GCP). It focuses on developing AI applications using LangChain and cutting-edge technologies. This repository showcases various implementations and experiments, aiming to create robust, scalable, and efficient AI-driven solutions.
github-action-demo
Showcasing a basic CI/CD workflow using GitHub Actions to automate testing and deployment
Linear-Risk-Model-for-Retinophathy-in-Diabetes-Patient
Build a risk score model for retinopathy in diabetes patients using logistic regression.
LinearRegressionIntro
Introduction to Linear Regression
mlops-with-vertex-ai
An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
vertex-ai-mlops
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
VertexAI
Machine Learning with Vertex AI on Google Cloud