Answer Posted / Rahul Chaudhary

Model Selection is the process of choosing the best model from multiple candidates for a given dataset and task. It involves evaluating various models using appropriate metrics, comparing their performance, and selecting the one that provides the best balance between complexity and accuracy.

Do you have research experience in machine learning?

74

What are standardization and normalisation? Give one advantage of each over the other?

74

Tell me what are the last machine learning papers you've read?

209

Tell us do you have research experience in machine learning?

150