. A bank wants to use historic loan repayment records to categorize loan applications as low-risk or high-risk based on characteristics like the loan amount, the income of the borrower, and the loan period. What kind of machine learning model should the bank use automated machine learning to create? ClassificationRegressionTime series forecasting

1. An automobile dealership wants to use historic car sales data to train a machine learning model. The model should predict the price of a pre-owned car based on its make, model, engine size, and mileage. What kind of machine learning model should the dealership use automated machine learning to create? ClassificationRegressionTime series forecasting

Which of the following is an example of the classification technique of Machine Learning?Categorizing customer reviews as positive or negativeRecommending movies based on user preferencesForecasting the seasons of the yearPredicting the blood pressure of patients

ML Use Case(Read the following information and answer the questions that follow.)RoboBank is an NBFC that provides short-term loans to small and medium-sized enterprises. In order to be more inclusive, RoboBank recently decided to approve loans for small business owners who did not have a credit history, on the basis of their cash flows and liquidity analysis. However, due to this decision, the company’s non-performing assets (NPAs) are now among the highest in the industry. In order to deal with this problem, RoboBank has decided to use machine learning to determine whether a new prospective customer is going to default on loan payments or not.Does this scenario warrant the use of machine learning?YesNo

Which of the following statements involve machine learning models based on supervised learning:<br /> A. 1. An email spam filter uses previously tagged emails to classify messages as spam or non-spam. <br />B. 2. An AI artist generates unique paintings inspired by various art styles without explicit guidance. <br />C. 3. A self-driving car adapts its behavior to traffic conditions in real-time without using labeled data. <br />D. 4. A credit scoring system predicts the likelihood of default based on historical repayment data.

What is machine learning