google colab

This project aims to detect fraudulent credit card transactions using machine learning techniques. The dataset used is highly imbalanced, with a significantly larger number of legitimate transactions compared to fraudulent ones.

Train YOLOv5 for breed classification on Oxford Pets III dataset from scratch on Google Colab, and serve through Dockerized implementation of a flask-based HTML/JS frontend and an asynchronous API service on FastAPI. Use of MLFlow for logging.

simple quizzes.

Copy of my kaggle notebooks from account for that time

Use Zotify in Google Colaboratory.

My first interaction with Spark.