Pinned

1. End-to-End-Vertex-AI-Pipeline-for-Fraud-Detection End-to-End-Vertex-AI-Pipeline-for-Fraud-Detection Public

   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 an…

   Jupyter Notebook

2. CloudScore-Analytics--GCP-Driven-Soccer-Data-Engineering-Suite CloudScore-Analytics--GCP-Driven-Soccer-Data-Engineering-Suite Public

   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 skill…

   Jupyter Notebook

3. Production-Ready-ML-Pipeline-on-GCP-Baby-Weight-Prediction Production-Ready-ML-Pipeline-on-GCP-Baby-Weight-Prediction Public

   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…

   Jupyter Notebook 1

4. End-to-End-Heart-Disease-Classification End-to-End-Heart-Disease-Classification Public

   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)

   Jupyter Notebook

5. Brain-Tumor-MR-Image-Classification-using-Transfer-Learning-with-EfficientNet- Brain-Tumor-MR-Image-Classification-using-Transfer-Learning-with-EfficientNet- Public

   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 …

   Jupyter Notebook

6. Langchain-Series Langchain-Series Public

   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.

   Jupyter Notebook