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verify-tagTextile Weaving Dataset to Predict Production

businesscomputer science

14

已售 0
13.47MB

数据标识:D17171584874442499

发布时间:2024/05/31

以下为卖家选择提供的数据验证报告:

数据描述

Context

Textile weaving dataset for machine learning to predict rejection and production of a weaving factory

Abstract

Weaving is one of the most popular fabric manufacturing techniques. The weaving process consists of 3 major stages: warping, sizing, and weaving. The weaving factory henceforth involves a lot of data. But unfortunately, there is no attempt to utilize machine learning or data science in weaving production. Although a variety of scopes are there to implement statistical analysis, data science, and machine learning. The dataset was prepared by using the daily production report for 9 months. The final dataset contains 121,148 data with 18 parameters. Whereas the raw data contains the same number of entries with 22 columns. The raw data needs substantial work to combine the daily production report, treat the missing values, rename columns, and feature engineering to derive EPI, PPI, warp, weft count values, etc. The complete dataset is stored at https://data.mendeley.com/datasets/nxb4shgs9h/1. It is further processed to get the rejection dataset which is stored at https://data.mendeley.com/datasets/6mwgj7tms3/2. The future implementation of the dataset is to predict the weaving waste, investigate the statistical relations among various parameters, production prediction, etc.

Info

Download

kaggle API Command

!kaggle datasets download -d azminetoushikwasi/textile-weaving-dataset-to-predict-rejection

Disclaimer

The data collected is all publicly available, and it's intended for educational purposes only.

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Textile Weaving Dataset to Predict Production
14
已售 0
13.47MB
申请报告