VPT 2 Fundamental Concepts

Enter your full name for Attendance & Class Participation.

2. How much of the Video Series 2.x have you watched before class?

• 100%

• Between 50% to 99%

• Between 1% to 49%

• 0%

How much of Ex 2.1 have you completed before class?

• 100%

• Between 50% to 99%

• Between 1% to 49%

• 0%

What is the intended learning outcome(s) of Session 2 Topic: Fundamental Concepts?

• Identify aspects of business problems that could be fruitfully solved by predictive techniques.

• Apply selected predictive techniques to solve the business problem.

• Explain the results of the selected predictive techniques in the context of the business problem.

• Evaluate the performance of the predictive techniques.

• Propose business solutions based on the results of the predictive techniques.

Visualization and Models are complementary in an Analytics project.

• True

• False

Supervised Learning means

• A human expert tells you whether your model prediction is right/wrong.

• The data contains the information that tells you whether the model prediction is right/wrong.

• The data does not contain the information to determine if the model prediction is right/wrong.

• There is a feedback mechanism to reward/penalize model prediction without telling right/wrong.

Which of the following are Supervised Learning?

• Linear Regression

• Logistic Regression

• CART

• Clustering

Given a set of data, there are many correct models.

• True

• False

Given a set of data, we should aim for zero prediction error in the data.

• True

• False

The purpose of the testset is to

• provide a more realistic estimate of the model predictive performance, today.

• suggest how to optimize the model, today.

• guarantee the superior performance of the model when deployed.

• optimize the model parameters.