Sigmoid Tech Talk | Episode 8 | Regularization

Sigmoid Tech Talk - a video series on emerging data and analytics topics.
Welcome to the episode 8 of Sigmoid Tech Talk - "Regularization" with Ankit Sharma, Associate Lead Data Scientist at Sigmoid! 📊 In this two-part series, we embark on a journey to unravel the intricacies of regularization techniques.
🔍 Part 1: Discover the essence of regularization as Ankit Sharma elucidates its profound importance. Join us as we delve into the world of techniques like Ridge and Lasso regularization, gaining a comprehensive understanding of their role in refining data science models.
🎯 Part 2: Our exploration continues with Ankit Sharma as he sheds light on the limitations inherent in Ridge and Lasso regularization methods. Uncover the significance of the lambda parameter in fine-tuning the regularization technique, unraveling the secrets behind its effectiveness.
Don't miss out on this opportunity to enhance your data science prowess with insights from a seasoned professional. Like, share, and subscribe to stay updated on more captivating discussions about the ever-evolving landscape of data science and machine learning! 📚🔗🔔