In Machine Learning, Precision, Recall, and F1-score are evaluation metrics mainly used for classification problems, especially when the dataset is imbalanced.

Both Linear Regression and Logistic Regression are supervised machine learning algorithms, but they are used for different types of problems.

Logistic Regression is a Supervised Machine Learning algorithm mainly used for classification problems.

Linear Regression is a Supervised Machine Learning algorithm used to predict a continuous numeric value based on one or more input features.

In machine learning interviews, classification vs regression is one of the most frequently asked fundamental questions. The key difference lies in the type of output they predict.

Supervised learning is one of the most fundamental concepts in Machine Learning Machine Learning and is frequently asked in interviews.

AI is the broader concept of creating systems that can mimic human intelligence.

It includes:

• Decision making

• Reasoning

• Problem solving

• Language understanding

• Robotics

• Expert systems

Custom Hooks in React are reusable JavaScript functions that start with the prefix use and allow you to extract and reuse stateful logic across multiple components.

You should use useReducer instead of useState when state logic becomes complex, interconnected, or harder to manage with simple updates.

In React, both useEffect and useLayoutEffect are used to run side effects in functional components, but they differ mainly in timing of execution and use cases.