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Web Based Portal for Complete Data Engineering

EasyChair Preprint no. 9111

4 pagesDate: October 24, 2022


Machine Learning has become the need of today’s world. Any intelligent system is incomplete without Machine Learning. People use ML models in various applications. Every ML-based project has to go through some of the steps during the development process. This process consists of certain common steps which every ML project needs to follow. The process of building ML models is tedious and time consuming. There are some common problems which people face while developing ML-based projects. That includes lack of resources and infrastructure, lack of uniformity in codebase and writing repetitive code for every project. These problems are very serious as building ML models needs a lot of effort and time. This paper aims to describe some of the problems that people face during the development of ML-based projects. It also provides a solution to reduce many problems and save efforts in the development process. The system proposed in this paper can save a lot of time and effort in building ML models. It will help to build projects faster and increase efficiency.

Keyphrases: machine learning, ML models, ML Pipeline, Web based Portal

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Prashant Dwivedi and Shreyas Jadhav and Shruti Jadhav and Vidyadhari Singh},
  title = {Web Based Portal for Complete Data Engineering},
  howpublished = {EasyChair Preprint no. 9111},

  year = {EasyChair, 2022}}
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