# Predictive-Maintenance-Practice

**Repository Path**: yanuoshen/Predictive-Maintenance-Practice

## Basic Information

- **Project Name**: Predictive-Maintenance-Practice
- **Description**: This is a Machine Learning Practice Case of Predictive Maintenance by Python with NASA's Turbofan Engine Degradation Simulation Data Set.
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-06-14
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Predictive-Maintenance-Practice
This is a Machine Learning Practice Case of Predictive Maintenance by Python with NASA's Turbofan Engine Degradation Simulation Data Set.
The popular predictive and classification algorithms were implemented to build this project.


The project was practived under the following environment:
Windows 10 with Intel(R) i7-6700 CPU @ 3.40GHz, RAM 8G;
Python 3.8 on Spyder IDE 4.0 (Anaconda3)

Packages used:
Data Wrangling:	NumPy 1.17 & pandas 0.25;
Visualization : Matplotlib 3.1.0 & seaborn 0.9.0 & Scikit-plot 0.37;
ML algorithm  :	scikit-learn 0.21.3 & xgboost 1.0;