LULC Satellite Image Classification Using Machine Learning: Model Selection & Training Scikit-Learn

In this video, we will evaluate the performance of different machine learning models including Support Vector Machine (SVM), Random Forest (RF), Logistic Regression (LR), K-Nearest Neighbor (KNN), and Decision Tree (DT) for land use land cover classification.
This tutorial will help you understand how to select the best machine-learning model for your task.
The code examples are available on our GitHub page:
github.com/BEEILAB/LULC-Classification-Using-Machine-learning
The dataset can be found in the following link:
github.com/iremozcann/Land-Cover-Prediction-Using-Machine-Learning/tree/main?tab=readme-ov-file
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