Project 1: Image Classification

Description: A project to classify images using a convolutional neural networks.

Results: Achieved 95% accuracy on the test dataset.

Project 2: Sentiment Analysis

Description: A project to analyze the sentiment of text data using natural language processing.

Results: Achieved 90% accuracy on the sentiment analysis task.