28. What is Cross-Validation in Machine Learning?

Q: Could you explain your choice of model for machine learning with any examples?

A: Linear Regression is used for predicting continuous numerical values.Convolutional Neural  Networks…

Q: Q. What is Cross-Validation in Machine Learning? give detailed explanation.

A: Machine learning is a branch of artificial intelligence that focuses on developing algorithms and…

Q: What is Outliers and How You can handle them in Machine Learning? explain with code.

A: Data points that substantially differ from the bulk of the data points in a dataset are called…

Q: Discuss precision and recall with examples in machine learning.

A: Precision and Recall are the two most important but confusing concepts in the Machine Learning.

Q: Write a brief note on Concept Learning in Machine Learning

A: Here we will discuss in brief on machine learning

Q: Explain The Term Selection Bias In Machine Learning? with python code

A: When the data used to train an algorithm are not representative of the larger population or scenario…

Q: Are algorithms and data structures useless in the era of machine learning?

A: No, you will become familiar with machine learning techniques. Data structures state that you will…

Q: Explain the concept of machine learning. What is the difference betwegn supervised and unsupervised…

A: Given: Explain the concept of machine learning. What is the difference betwegn supervised and…