Machine Learning Recipes

Jupyter notebooks showcasing diverse machine learning algorithms and practical applications.

Deep learning and ML 🧠

• Random forest
• Convolutional neural network
• Multiclass classification - transfer learning
• Sementic segmentation (U-net)
• Sementic segmentation (SAM)

Computer vision 👁️

• Filters on images
• Otsu's segmentation
• Find points of interest
• Detect faces

GIS 🗺️

• Random forest
• K-means
• Semantic segmentation with SAM
• SAM with point prompt
• Vegetation index

Data exploration 🔍

• Explore images
• Explore audios

Data augmentation ➕

• Augment images
• Augment audios

Model interpretability 🕵️

• Inspect image predictions (Grad-CAM)
• Explain text predictions

Reducing the dimensionality 🌱

• Principal Component Analysis (PCA)