You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This project involves developing a Python application to classify dog breeds using pre-trained convolutional neural networks (CNNs). It utilizes models such as ResNet, AlexNet, and VGG to process input images and accurately identify the breed.
The project involves developing an ETL pipeline on Amazon Redshift to load data from S3, create staging tables, and transform the data into a star schema optimized for song play analysis. The goal is to enable Sparkify's analytical team to uncover insights about user behavior and music preferences.