Avoiding Overfitting: Techniques for Generalization in Machine Learning | ThinkInderstand

Описание: Hello Fellow People,
In this video, we'll be discussing the concept of overfitting in machine learning and the importance of generalization. Overfitting is a common problem in machine learning where a model performs well on the training data but not on new data. We'll be covering different techniques to avoid overfitting and improve the generalization of your models. From regularization to cross-validation, we'll be discussing the pros and cons of each technique and how to implement them in your own projects. By the end of this video, you'll have a better understanding of how to improve the generalization of your models and avoid overfitting. Make sure to watch this video if you want to take your machine-learning skills to the next level!