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@article{196724,
        author = {Swaroop Pawar and Khushi Nandha and Prem Shirsathe and Pankaj Deshmukh},
        title = {Web App for Exploratory Data Analysis and ML Workflows},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {4374-4379},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196724},
        abstract = {The increasing demand for data-driven decision-making has made data analysis and machine learning essential across various domains. However, performing these tasks often requires significant programming knowledge, technical expertise, and the use of multiple tools. This paper presents the design and development of a web-based application that simplifies Exploratory Data Analysis (EDA) and Machine Learning (ML) workflows through a no-code interface. The system allows users to upload datasets, perform preprocessing, visualize data, apply dimensionality reduction techniques, and train machine learning models seamlessly. It also supports handling both structured and unstructured data by converting the latter into meaningful feature representations. The proposed platform reduces dependency on coding skills and accelerates the process of building end-to-end ML pipelines, making it suitable for both academic and business applications.},
        keywords = {Exploratory Data Analysis, Machine Learning, Web Application, No-Code Platform, Data Preprocessing, PCA},
        month = {April},
        }