Yashasvi Misra
Yashasvi Misra is a Data Engineer at ABInBev, recognized as a GHC Scholar with a solid expertise in Data Modeling, Data Architecture, Python, and Data Science. With a prestigious Excellence Award from Samsung Research India, Yashasvi brings a robust background in research projects and a fervent enthusiasm for exploring and implementing cutting-edge technologies. Passionate about engaging with open source communities, Yashasvi is also a dedicated advocate for diversity and inclusion in the tech industry.
Beitrag
Join us for an insightful talk on ensemble learning in machine learning, where we'll explore how combining multiple models can significantly boost predictive performance. We’ll cover the fundamentals, including the difference between weak and strong learners. Then, we'll dive into key techniques: Bagging, which trains models independently in parallel; Boosting, which sequentially strengthens weak models; and Stacking, which merges models to create a more generalized and robust model. Whether you're a data scientist or just curious, this talk will deepen your understanding of these powerful techniques.