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⚡ IBM Cloud ML Project – Power System Fault Detection This repository contains the Power System Fault Detection project built using IBM Cloud Machine Learning services. The aim of this project is to detect and classify faults in a power system using data analysis and machine learning models.

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⚡ IBM Cloud ML Project – Power System Fault Detection This repository contains the Power System Fault Detection project built using IBM Cloud Machine Learning services. The aim of this project is to detect and classify faults in a power system using data analysis and machine learning models.

📂 Contents : power system fault detection.ipynb – Jupyter Notebook containing the complete ML workflow (data preprocessing, model training, evaluation) Project PDF – Detailed documentation of the project (theory, methodology, results) README.md – Project overview and setup guide

🚀 Features : Data preprocessing and feature engineering Fault classification model using IBM Cloud ML Visualization of results Cloud-based deployment ready

🛠️ Technologies Used : IBM Cloud Watson Machine Learning Python (Pandas, NumPy, Matplotlib, Scikit-learn) Jupyter Notebook

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⚡ IBM Cloud ML Project – Power System Fault Detection This repository contains the Power System Fault Detection project built using IBM Cloud Machine Learning services. The aim of this project is to detect and classify faults in a power system using data analysis and machine learning models.

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