metadata
license: apache-2.0
task_categories: - tabular-classification language: - en pretty_name: Predictive Maintenance Engine Dataset
Predictive Maintenance Engine Dataset
Overview
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.
The objective is to develop a machine learning model that predicts the engine condition using sensor readings.
Dataset Information
- Number of Records: 19,535
- Number of Features: 6
- Target Variable: Engine Condition
Features
| 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
This dataset is intended for:
- Predictive Maintenance
- Binary Classification
- Machine Learning Model Development
- Educational and Research Purposes
Source
This dataset is provided as part of the Great Learning AIML Capstone Project and is used for educational purposes.
Project Scope
This dataset will be used for:
- Data Registration
- Exploratory Data Analysis
- Data Preparation
- Model Building
- Hyperparameter Tuning
- Experiment Tracking (MLflow)
- Model Registration on Hugging Face
License
Apache-2.0