International Conference on Predictive Analytics and Machine Learning Models
(ICPAMLM-26)

19th December 2026 || Mumbai - India || Hybrid Mode

Proudly Organized by INRI

Join global experts to share ideas, connect, and innovate.
🎉 Coupon Copied Successfully!

Conference Session Tracks

The International Conference on Predictive Analytics and Machine Learning Models (ICPAMLM), scheduled to be held on 19th December 2026 in Mumbai, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Data Science.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Advancements in Predictive Analytics
    This track focuses on the latest methodologies and techniques in predictive analytics. Participants will explore innovative approaches to enhance prediction accuracy across various domains. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 02 – Machine Learning Algorithms for Classification
    This session will delve into the development and application of machine learning algorithms specifically for classification tasks. Researchers are invited to present novel techniques and comparative studies that demonstrate performance improvements. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Regression Techniques in Data Science
    This track emphasizes the role of regression analysis in data science, covering both traditional and contemporary methods. Contributions that showcase real-world applications and theoretical advancements are encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 10 – Reduced Inequalities
  • Track 04 – Clustering Methods and Applications
    This session will explore various clustering techniques and their applications in diverse fields. Participants will discuss challenges and solutions in clustering high-dimensional and complex datasets. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 05 – Artificial Intelligence in Predictive Modeling
    This track examines the intersection of artificial intelligence and predictive modeling. Researchers will present studies on how AI techniques enhance predictive capabilities and decision-making processes. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 06 – Data Mining Techniques for Big Data
    This session focuses on data mining techniques tailored for big data environments. Presentations will highlight innovative strategies for extracting meaningful insights from large and complex datasets. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 07 – Neural Networks and Deep Learning
    This track is dedicated to the exploration of neural networks and deep learning methodologies. Participants will share advancements in architectures, training techniques, and applications across various sectors. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 08 – Forecasting Algorithms in Practice
    This session will cover a range of forecasting algorithms and their practical applications. Researchers are invited to present case studies that demonstrate the effectiveness of these algorithms in real-world scenarios. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 09 – Simulation Techniques in Data Analysis
    This track focuses on simulation techniques used in data analysis and modeling. Participants will discuss the role of simulation in validating models and enhancing predictive accuracy. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 10 – Statistical Methods for Data Science
    This session emphasizes the importance of statistical methods in data science. Contributions that highlight the integration of statistical theory with practical applications are highly encouraged. Aligned SDGs: SDG 10 – Reduced Inequalities  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 11 – Ethics and Challenges in Predictive Analytics
    This track addresses the ethical considerations and challenges associated with predictive analytics. Discussions will focus on responsible data use, bias mitigation, and the implications of predictive modeling in society. Aligned SDGs: SDG 10 – Reduced Inequalities  |  SDG 16 – Peace, Justice and Strong Institutions
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 4 SDG 4
    Quality Education
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 10 SDG 10
    Reduced Inequalities
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 12 SDG 12
    Responsible Consumption and Production
  • SDG 16 SDG 16
    Peace, Justice and Strong Institutions
  • SDG 17 SDG 17
    Partnerships for the Goals

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228