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)
