Dolu Obatusin's repositories
customer-churn-prediction-vertex-ai
The project utilizes a customer dataset that includes spending data and churn labels to train an AutoML model, which is then deployed on Vertex AI for real-time churn prediction.
azure-flask-app
This repository contains a step-by-step guide on how to deploy an e-learning course catalog website using the Azure CLI.
cancer-multiclass-classification
The goal of this project is to implement multi-class classification to predict cancer genetic mutations in one of 9 categories
credit-risk-mlops-e2e
An end-2-end mlops applied to credit risk modeling
Datacamp_Projects
Completed Projects from Datacamp
DiabetesPredictor-AI
a machine learning model for predicting diabetes using the PyCaret module and deployed it on AWS S3
e-commerce_image_classification
e-commerce processes with image classification.
end-to-end-pipeline-f1-analysis
End-to-End Data Pipeline for Formula 1 Analysis
fastapi-rag-system
This repository contains a complete implementation of a Retrieval-Augmented Generation (RAG) system using FastAPI and OpenAI’s API. The project provides a practical example of how to build and integrate a sophisticated AI-driven system that combines retrieval and generation techniques.
LondonTravelAnalysis
SQL queries to find the most popular transport methods, examine when the London cable car (which connects London's Royal Docks, where the Mayor's office is located, to Greenwich Peninsula, home of the O2 arena) was particularly busy, and identify rare periods when the Underground (also known as "the tube" to locals) was less busy.
MedicalImageClassifier-AI
A deep learning-based image classification system to automate the medical screening process, reducing the workload on medical professionals and improving the accuracy and speed of diagnosis.
multi-input_model_for_ocr
Anadvanced Optical Character Recognition (OCR) model to classify insurance codes from scanned documents using multi-modal modeling and deep learning techniques. Leveraged robust training and optimization methods to enhance data management capabilities in the insurance sector.