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UID:eventsphere-66753@www.knowafest.com
DTSTAMP:20261021T145045Z
DTSTART:20261125T041500Z
DTEND:20261125T112000Z
SUMMARY:One Day workshop on Advanced Ensemble Learning Techniques for Super
 vised Machine Learning using Python 2026
LOCATION:Online and Offline (VIT University)\, Vellore
DESCRIPTION:<p>This Workshop aims at providing a forum for members of the r
 esearch and academy community. The Workshop enables the participants to un
 derstand the recent technologies in ML Foundations\, ensemble techniques s
 uch as Boosting\, Voting\, and Stacking\, along with their practical imple
 mentation using Python. The One-Day Workshop on Advanced Ensemble Learning
  Techniques for Supervised Machine Learning aims to provide participants w
 ith a comprehensive understanding of the fundamental concepts\, advanced m
 ethodologies\, and practical applications of ensemble learning. The worksh
 op will introduce the principles of ensemble modeling and explain how comb
 ining multiple base learners can enhance the accuracy and reliability of p
 redictive models. Participants will explore major ensemble techniques\, in
 cluding Bagging\, Random Forest\, Boosting\, AdaBoost\, Gradient Boosting\
 , XGBoost\, LightGBM\, CatBoost\, Voting Classifiers\, and Stacking.The wo
 rkshop will emphasize the theoretical foundations and practical implementa
 tion of these techniques\, highlighting their strengths\, limitations\, an
 d suitability for different supervised learning tasks. Participants will g
 ain insights into model selection\, hyperparameter tuning\, feature import
 ance analysis\, and performance evaluation using appropriate metrics for c
 lassification and regression problems. A hands-on session using Python and
  machine learning libraries such as Scikit-learn will enable participants 
 to implement ensemble algorithms\, experiment with real-world datasets\, a
 nd compare the performance of individual models with ensemble-based approa
 ches.</p>
URL:https://www.knowafest.com/event/one-day-workshop-on-advanced-ensemble-l
 earning-techniques-for-supervised-machine-learning-using-python
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