6. Regularization for Linear Model (L1 & L2 Explained with Python) | Ridge vs Lasso | AIML Course
📂 Dataset used in this video:
Check Pinned Comment.
In this video, we learn Regularization, a powerful technique used to reduce overfitting in Machine Learning models.
This tutorial includes:
• What is overfitting and why it happens
• What is regularization and how it helps
• L1 Regularization (Lasso)
• L2 Regularization (Ridge)
• Difference between Ridge and Lasso
• Practical implementation using Python
• Real dataset demonstration
This video is part of the AIML Course by NexTechX, where complex concepts are explained in a simple and practical way.
💻 Tools used:
• Python
• Pandas
• Scikit-learn
🚀 Related videos:
• Polynomial Regression
• Feature Selection
• Linear Regression
🔔 Subscribe for more AI/ML tutorials:
/ @thenextechx
#MachineLearning #Python #DataScience #Regularization #Ridge #Lasso #AIML