| --- |
| license: apache-2.0 |
| --- |
| --- |
| task_categories: |
| - tabular-classification |
| language: |
| - en |
| pretty_name: Predictive Maintenance Engine Dataset |
| --- |
|
|
| # Predictive Maintenance Engine Dataset |
|
|
| ## 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 |
|
|
| - **Number of Records:** 19,535 |
| - **Number of Features:** 6 |
| - **Target Variable:** Engine Condition |
|
|
| ### Features |
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|
| | Feature | Description | |
| |---------|-------------| |
| | Engine rpm | Engine speed (RPM) | |
| | Lub oil pressure | Lubricating oil pressure | |
| | Fuel pressure | Fuel pressure | |
| | Coolant pressure | Coolant pressure | |
| | Lub oil temp | Lubricating oil temperature | |
| | Coolant temp | Coolant temperature | |
| | Engine Condition | Target variable representing engine health | |
|
|
| ## Intended Use |
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| This dataset is intended for: |
|
|
| - Predictive Maintenance |
| - Binary Classification |
| - Machine Learning Model Development |
| - Educational and Research Purposes |
|
|
| ## 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 |
| - Exploratory Data Analysis |
| - Data Preparation |
| - Model Building |
| - Hyperparameter Tuning |
| - Experiment Tracking (MLflow) |
| - Model Registration on Hugging Face |
|
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| ## License |
|
|
| Apache-2.0 |
