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@article{175548,
        author = {Abhishek Vishwakarma and Kalyani Patil and Manan Shinde and Ketkee Pande},
        title = {Insightful Data Analysis and Model Training},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {3696-3702},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175548},
        abstract = {Extracting insights from complex datasets and training machine learning models can be challenging due to data preprocessing complexities, lack of automation, and limited interpretability. To address these issues, we propose an automated data analysis and model training system that streamlines data ingestion, preprocessing, statistical analysis, visualization, and model evaluation. The platform leverages Streamlit for an interactive interface, CrewAI for intelligent query handling, and Scikitlearn for model selection and evaluation. Our results demonstrate that automating the entire workflow significantly reduces manual effort, enhances interpretability through visualization, and improves model performance with optimized hyperparameter tuning. The proposed system makes data-driven decision-making more efficient and accessible, providing a robust framework for both exploratory data analysis and machine learning model deployment.},
        keywords = {Data analysis, automation, machine learning, statistical, visualization, model training, CrewAI, langchain, Streamlit.},
        month = {April},
        }