You want to create a model to predict the cost of heating an office building based on its size in square feet and the number of employees working there. What kind of machine learning problem is this? RegressionClassificationClustering

If you want to predict the price of an apartment, which of the following ML techniques you may consider?RegressionClusteringAny of the these optionsClassification

Write an algorithm for predicting house prices based on features like size, location,and number of bedroomsHint : 1. Collect and Prepare Data2. Define Features and Target3. Initialize Model Parameters4. Define the Hypothesis Function5. Define the Cost Function – Mean Squared Error6. Gradient Descent – minimizing the cost function7. Training the Model8. Make Predictions9. Evaluate the Model10. Deploy the Model

Question 2The "Regression" technique in Machine Learning is a group of algorithms that are used for:1 pointPrediction of class/category of a case; for example, a cell is benign or malignant, or a customer will churn or not.Finding items/events that often co-occur; for example grocery items that are usually bought together by a customer.Predicting a continuous value; for example predicting the price of a house based on its characteristics.

Select all the tasks where linear regression algorithm can be applied.Note: Multiple options can be correct.You have a data set of BMI (body mass index) and fat percentage of the customers of a fitness centre. The fitness centre wants to predict the fat percentage of a new customer, given his BMI.You have collected data from a house rental website like commonfloor.com. The data includes the rental prices of apartments and customer ratings as HIGH or LOW. You want to predict the customer rating, given the rental price of a new house.You want to predict the sales of a retail store based on its size, given the data set of sales of retail stores and their sizes.You want to predict whether a customer is likely to leave the telecom network.

I predict house prices based on multiple features like area, bedrooms, and bathrooms. Which regression method am I?