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license: apache-2.0
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---
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license: apache-2.0
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---
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---
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task_categories:
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- tabular-classification
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language:
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- en
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pretty_name: Predictive Maintenance Engine Dataset
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---
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# Predictive Maintenance Engine Dataset
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## Overview
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This dataset contains engine sensor readings collected for the purpose of predicting the operational condition of an engine. It is used as part of the Great Learning AIML Capstone Project.
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The objective is to develop a machine learning model that predicts the engine condition using sensor readings.
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## Dataset Information
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- **Number of Records:** 19,535
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- **Number of Features:** 6
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- **Target Variable:** Engine Condition
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### Features
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| Feature | Description |
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|---------|-------------|
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| Engine rpm | Engine speed (RPM) |
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| Lub oil pressure | Lubricating oil pressure |
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| Fuel pressure | Fuel pressure |
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| Coolant pressure | Coolant pressure |
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| Lub oil temp | Lubricating oil temperature |
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| Coolant temp | Coolant temperature |
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| Engine Condition | Target variable representing engine health |
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## Intended Use
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This dataset is intended for:
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- Predictive Maintenance
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- Binary Classification
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- Machine Learning Model Development
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- Educational and Research Purposes
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## Source
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This dataset is provided as part of the **Great Learning AIML Capstone Project** and is used for educational purposes.
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## Project Scope
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This dataset will be used for:
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- Data Registration
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- Exploratory Data Analysis
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- Data Preparation
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- Model Building
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- Hyperparameter Tuning
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- Experiment Tracking (MLflow)
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- Model Registration on Hugging Face
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## License
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Apache-2.0
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