End-to-end MLOps project
This MLOps project predicts obesity levels using a Random Forest model with scikit-learn, managed by DVC for pipeline automation. The app is deployed on Render Cloud with FastAPI for user interaction.
This MLOps project predicts obesity levels using a Random Forest model with scikit-learn, managed by DVC for pipeline automation. The app is deployed on Render Cloud with FastAPI for user interaction.
In this data analysis project, I scrutinized the ‘taxis’ dataset from Seaborn to understand taxi trip dynamics 
This project was initiated from a simple realization during a routine check in PowerShell: my Downloads folder was cluttered with an overwhelming number of files. Manually sorting and deleting these files seemed like a daunting task, so I turned to Python and automation to streamline the process..
This project was built in Python and it condenses the Brampton’s commercial directory into an interactive map, highlighting proximity and details with a click
Using Python I web scraped Google reviews from the Lambton College review page then conducted senttiment analysis to asses weather the stars rating alligned with the overall sentiment of the comments.
This project showcases image processing techniques using Python and OpenCV to manipulate and analyze digital images, specifically a fingerprint and dental X ray. 