In the context of K-Nearest Neighbors (KNN) in supervised learning, and how does it make predictions?
A social media manager wants to show the proportion of users…
A social media manager wants to show the proportion of users by device type (iOS, Android, Web). Use:
A restaurant recommendation system considers user preference…
A restaurant recommendation system considers user preferences and similarity to other users. This is an example of:
Before implementing an AI solution, a business conducts a re…
Before implementing an AI solution, a business conducts a readiness assessment. This process examines whether the organization has the proper foundation and support for real-world deployment. What are they evaluating?
What is the primary function of Linear Regression in supervi…
What is the primary function of Linear Regression in supervised learning, and how does it work in predicting outcomes like the price of a house?
A navigation app calculates the fastest route using rules li…
A navigation app calculates the fastest route using rules like IF traffic is heavy THEN reroute. This is:
What is the primary goal of normalization and scaling in dat…
What is the primary goal of normalization and scaling in data transformation, and what is an example of a technique used for normalization?
A real estate company wants to estimate the selling price of…
A real estate company wants to estimate the selling price of a house based on its square footage, number of bedrooms, and location. What type of algorithm should be used?
A numeric feature “Age” has values ranging from 5 to 90. You…
A numeric feature “Age” has values ranging from 5 to 90. You want to scale it between 0 and 1 so all features contribute fairly to modeling. Which transformation is appropriate?
If your model performs poorly (low accuracy or high error),…
If your model performs poorly (low accuracy or high error), what is one simple step you can try first?