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  license: apache-2.0
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  license: apache-2.0
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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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+
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+ # Predictive Maintenance Engine Dataset
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+
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+ ## Overview
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+
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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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+
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+ ## Dataset Information
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+
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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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+
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+ ### Features
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+
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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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+
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+ ## Intended Use
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+
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+ This dataset is intended for:
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+
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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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+
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+ ## Source
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+
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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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+
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+ This dataset will be used for:
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+
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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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+
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+ ## License
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+
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+ Apache-2.0