Knowledge quiz

It's time to put what you've learned to the test, get 7 right to pass this unit.

Which of the following statements are true about supervised learning? (Select all that apply)

There are three correct answers.

It requires labeled data for training

It is typically used for clustering tasks

It involves predicting outcomes based on input features

It can be used for classification and regression tasks

Which of the following best describes unsupervised learning?

Choose the correct answer.

It uses labeled data to predict outcomes

It identifies patterns and relationships in unlabeled data

It requires human intervention to label data before training

It can only be used for regression tasks

Which scenario is best suited for unsupervised learning?

Choose the correct answer.

Diagnosing diseases from patient data with known outcomes

Predicting stock prices based on historical data

Segmenting an image into different regions based on pixel intensity

Classifying emails as spam or not spam based on labeled data

In which scenario would unsupervised learning be more appropriate than supervised learning?

Choose the correct answer.

Predicting sales figures for the next quarter

Classifying tumors as benign or malignant based on labeled medical data

Determining the sentiment of customer reviews

Clustering news articles into different categories without predefined labels

You are a Data Scientist working for a retail company interested in predicting customer purchasing behavior. You have access to a dataset containing customer demographics, purchase history, and browsing behavior on the company's website. Your task is to build a machine learning model that can predict which products a customer is likely to buy based on their profile and behavior. Given the scenario provided, which step of the machine learning workflow involves assessing the model's performance and iteratively fine-tuning it until satisfactory results are achieved?

Choose the correct answer.

Data Extraction

Dataset Partitioning

Training an ML Model

Model Evaluation

Which of the following are use cases for unsupervised learning? (Select all that apply)

There are two correct answers.

Market basket analysis to find product associations

Handwriting recognition

Customer segmentation

Predicting loan defaults based on applicant data

Which steps are typically involved in the machine learning workflow? Select all that apply.

There are three correct answers.

Data Extraction

Training an ML Model

Random Sampling

Model Evaluation

Which of the following scenarios are appropriate for unsupervised learning? (Select all that apply)

There are two correct answers.

Identifying fraudulent transactions based on labeled data

Grouping similar movies based on viewer ratings without labels

Predicting house prices based on historical sales data

Discovering patterns in customer browsing behavior without predefined outcomes