International Conference on Open Source Tools for Data Analytics
(ICOSTDA-27)

This track focuses on the application of open source tools in data processing workflows. Participants will explore various methodologies and frameworks that enhance data ingestion and transformation.

This session will delve into the utilization of open source machine learning frameworks for business applications. Attendees will discuss case studies and best practices for implementing machine learning models in real-world scenarios.

This track examines the role of big data analytics in driving business decisions. Presentations will highlight innovative approaches to managing and analyzing large datasets using open source tools.

This session will cover various predictive modeling techniques facilitated by open source analytics tools. Participants will learn how to leverage these models for forecasting and strategic planning.

This track focuses on the importance of data visualization in conveying complex business insights. Attendees will explore open source visualization tools and their effectiveness in enhancing data storytelling.

This session will investigate the use of open source ETL (Extract, Transform, Load) tools in data management processes. Participants will discuss the integration of these tools into existing data workflows.