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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…

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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…

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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)

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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 …

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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.

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