ЁЯФ╣ 1. What is Overfitting? ЁЯСЙ When a model learns the training data too well, including noise...
Machine Learning
Naive Bayes is a classification algorithm based on BayesтАЩ Theorem and the assumption of feature independence. ItтАЩs...
A classification model predicts categories or labels. For example: ЁЯУК Key Metrics for Classification тЬЕ Example: Evaluating...
ЁЯОп What is Overfitting? Overfitting happens when a machine learning model learns too much from the training...
The bias-variance tradeoff is a key concept in machine learning that helps us understand why models make...
ЁЯза 1. Supervised Learning ЁЯФН What it is: In supervised learning, the machine is trained using labeled...
