🎨 From Photos to Monet: CycleGAN and Styled CycleGAN for Artistic Style Transfer
Exploring GAN-based architectures to transform real-world photos into Monet-inspired paintings, with custom enhancements for better style fidelity.
Posts with tags “machine_learning”
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6 posts in total
🌪️ Classifying Disaster Tweets with Deep Learning
A comparative study of GRU and LSTM architectures for binary classification of disaster-related tweets.
🧬 Detecting Cancer in Histopathology Images with CNNs
A practical deep learning project for binary classification using the PatchCamelyon dataset.
🌸 Clustering Iris Species with K-Means and Hierarchical Methods
A hands-on comparison of K-Means and Agglomerative Clustering on the Iris dataset, with insights into performance, parameter tuning, and practical trade-offs.
📰 Classifying BBC News Articles with Machine Learning
Using machine learning to automatically classify BBC news articles by topic—comparing unsupervised and supervised approaches to see which performs best.
📧 Is This Spam? Testing Email Classification Models
Exploring which machine learning models best detect spam emails—and why ensemble methods like AdaBoost and Random Forest come out on top.