🔹 1. What is Overfitting? 👉 When a model learns the training data too well, including noise...
Machine Learning
Naive Bayes is a classification algorithm based on Bayes’ Theorem and the assumption of feature independence. It’s...
A classification model predicts categories or labels. For example: 📊 Key Metrics for Classification ✅ Example: Evaluating...
🎯 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...
🧠 1. Supervised Learning 🔍 What it is: In supervised learning, the machine is trained using labeled...
