Ways to Improve Testing Accuracy | Overfitting and Underfitting | L1 L2 Regularisation [Lecture 15] скачать в хорошем качестве

Ways to Improve Testing Accuracy | Overfitting and Underfitting | L1 L2 Regularisation [Lecture 15]

Learn essential machine learning concepts with clear explanations and practical examples. Perfect for beginners and enthusiasts aiming to improve their understanding of model performance and regularization techniques. 📌 Timestamps: 00:00 Bias and Variance 01:19 Overfitting and Underfitting 12:10 Hands-On: Overfitting & Underfitting 22:42 L1 (Lasso) & L2 (Ridge) Regularization 30:35 Hands-On: Lasso & Ridge ✨ What You’ll Learn: Balance bias and variance effectively. Identify and fix overfitting or underfitting. Implement L1 and L2 regularization in real projects. 🎓 Meet Your Instructor Pritam Kudale, an experienced AI educator with 10+ years of expertise, is dedicated to equipping educators with modern AI/ML teaching strategies and tools. 🔗 Connect with Pritam Kudale: LinkedIn Profile   / pritam-kudale-90793236   🔗 Relevant Links: Check out more resources in the description below for datasets, code snippets, and additional reading material : https://github.com/pritkudale/ML-for-... #MachineLearning #LinearRegression #DataScience #AI #PythonProgramming #Statistics