Which type of training describes a machine learning application that interacts with its environment and learns to take actions that maximize rewards?

	Deep Learning
	Reinforcement Learning
	Unsupervised Learning
	Supervised Learning

You are creating a machine learning solution for a call center. The objective of the system is to route customers to the appropriate department, and there are wight possible departments. Which types of machine learning problem does this scenario describes?

	Clustering
	Binary Classification
	Multiclass Classification
	Regression

Your model is overfitting if it performs well on the training data but not on the evaluation data.

	True
	False

You have a preprocessed dataset that is ready for use in training a model. How should you divide your training data?

	Use all the data to train the model
	Split the data into two equal sets. Use one half for training and the other half for testing.
	Split the data into three sets. Use 80% for training, 10% for testing, and 10% for validation.
	Split the data into two sets. 80% for training, and 20% for testing and validation.

What does a correlation heatmap show?

	The level of correlation between features in a dataset
	The level of correlation between the test and the validation data
	The level of correlation between the encoded and text data
	The level of correlation between the predicted and actual values