October 17 - October 23, 2024

This project involves the application of a Random Forest algorithm to the High-Resolution Floating Solar PV dataset. The objective was to understand and predict patterns related to energy generation and other key performance indicators within a floating solar PV installation.

This project explores the application of image classification and clustering techniques using R. The dataset includes various images categorized by their attributes. We employ Artificial Neural Networks (ANN) to classify images based on their features and assess model performance through accuracy metrics.

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