Machine Learning with Python Survey

In order to understand the impact of this training, we are collecting information about attitudes and skills related to the content before and after the training. Your responses will be recorded anonymously. Your computer's IP address will not be recorded.

You are also not expected to know these skills beforehand. Otherwise, why would you come to this training?!

	Strongly disagree	Disagree	Neither agree nor disagree	Agree	Strongly agree
The amount of information covered was reasonable for the allotted time.	The amount of information covered was reasonable for the allotted time. Strongly disagree	The amount of information covered was reasonable for the allotted time. Disagree	The amount of information covered was reasonable for the allotted time. Neither agree nor disagree	The amount of information covered was reasonable for the allotted time. Agree	The amount of information covered was reasonable for the allotted time. Strongly agree
The overall atmosphere was welcoming.	The overall atmosphere was welcoming. Strongly disagree	The overall atmosphere was welcoming. Disagree	The overall atmosphere was welcoming. Neither agree nor disagree	The overall atmosphere was welcoming. Agree	The overall atmosphere was welcoming. Strongly agree
I learned skills that I will be able to use in my work.	I learned skills that I will be able to use in my work. Strongly disagree	I learned skills that I will be able to use in my work. Disagree	I learned skills that I will be able to use in my work. Neither agree nor disagree	I learned skills that I will be able to use in my work. Agree	I learned skills that I will be able to use in my work. Strongly agree
I would recommend this training to a friend or colleague.	I would recommend this training to a friend or colleague. Strongly disagree	I would recommend this training to a friend or colleague. Disagree	I would recommend this training to a friend or colleague. Neither agree nor disagree	I would recommend this training to a friend or colleague. Agree	I would recommend this training to a friend or colleague. Strongly agree
The training was worth my time.	The training was worth my time. Strongly disagree	The training was worth my time. Disagree	The training was worth my time. Neither agree nor disagree	The training was worth my time. Agree	The training was worth my time. Strongly agree

Strongly disagree

Disagree

Neither agree nor disagree

Agree

Strongly agree

The amount of information covered was reasonable for the allotted time.

The amount of information covered was reasonable for the allotted time. Strongly disagree

The amount of information covered was reasonable for the allotted time. Disagree

The amount of information covered was reasonable for the allotted time. Neither agree nor disagree

The amount of information covered was reasonable for the allotted time. Agree

The amount of information covered was reasonable for the allotted time. Strongly agree

The overall atmosphere was welcoming.

The overall atmosphere was welcoming. Strongly disagree

The overall atmosphere was welcoming. Disagree

The overall atmosphere was welcoming. Neither agree nor disagree

The overall atmosphere was welcoming. Agree

The overall atmosphere was welcoming. Strongly agree

I learned skills that I will be able to use in my work.

I learned skills that I will be able to use in my work. Strongly disagree

I learned skills that I will be able to use in my work. Disagree

I learned skills that I will be able to use in my work. Neither agree nor disagree

I learned skills that I will be able to use in my work. Agree

I learned skills that I will be able to use in my work. Strongly agree

I would recommend this training to a friend or colleague.

I would recommend this training to a friend or colleague. Strongly disagree

I would recommend this training to a friend or colleague. Disagree

I would recommend this training to a friend or colleague. Neither agree nor disagree

I would recommend this training to a friend or colleague. Agree

I would recommend this training to a friend or colleague. Strongly agree

The training was worth my time.

The training was worth my time. Strongly disagree

The training was worth my time. Disagree

The training was worth my time. Neither agree nor disagree

The training was worth my time. Agree

The training was worth my time. Strongly agree

	Strongly disagree	Disagree	Neither agree nor disagree	Agree	Strongly agree
Instructors were enthusiastic.	Instructors were enthusiastic. Strongly disagree	Instructors were enthusiastic. Disagree	Instructors were enthusiastic. Neither agree nor disagree	Instructors were enthusiastic. Agree	Instructors were enthusiastic. Strongly agree
Instructors were considerate.	Instructors were considerate. Strongly disagree	Instructors were considerate. Disagree	Instructors were considerate. Neither agree nor disagree	Instructors were considerate. Agree	Instructors were considerate. Strongly agree
Instructors were good communicators.	Instructors were good communicators. Strongly disagree	Instructors were good communicators. Disagree	Instructors were good communicators. Neither agree nor disagree	Instructors were good communicators. Agree	Instructors were good communicators. Strongly agree
Instructors gave clear answers to your questions.	Instructors gave clear answers to your questions. Strongly disagree	Instructors gave clear answers to your questions. Disagree	Instructors gave clear answers to your questions. Neither agree nor disagree	Instructors gave clear answers to your questions. Agree	Instructors gave clear answers to your questions. Strongly agree

Strongly disagree

Disagree

Neither agree nor disagree

Agree

Strongly agree

Instructors were enthusiastic.

Instructors were enthusiastic. Strongly disagree

Instructors were enthusiastic. Disagree

Instructors were enthusiastic. Neither agree nor disagree

Instructors were enthusiastic. Agree

Instructors were enthusiastic. Strongly agree

Instructors were considerate.

Instructors were considerate. Strongly disagree

Instructors were considerate. Disagree

Instructors were considerate. Neither agree nor disagree

Instructors were considerate. Agree

Instructors were considerate. Strongly agree

Instructors were good communicators.

Instructors were good communicators. Strongly disagree

Instructors were good communicators. Disagree

Instructors were good communicators. Neither agree nor disagree

Instructors were good communicators. Agree

Instructors were good communicators. Strongly agree

Instructors gave clear answers to your questions.

Instructors gave clear answers to your questions. Strongly disagree

Instructors gave clear answers to your questions. Disagree

Instructors gave clear answers to your questions. Neither agree nor disagree

Instructors gave clear answers to your questions. Agree

Instructors gave clear answers to your questions. Strongly agree

	Much worse	Somewhat worse	Unimproved - neither worse nor better	Better	Much better	N/A
Explain the purpose of machine learning.	Explain the purpose of machine learning. Much worse	Explain the purpose of machine learning. Somewhat worse	Explain the purpose of machine learning. Unimproved - neither worse nor better	Explain the purpose of machine learning. Better	Explain the purpose of machine learning. Much better	Explain the purpose of machine learning. N/A
Compare and contrast supervised and unsupervised learning.	Compare and contrast supervised and unsupervised learning. Much worse	Compare and contrast supervised and unsupervised learning. Somewhat worse	Compare and contrast supervised and unsupervised learning. Unimproved - neither worse nor better	Compare and contrast supervised and unsupervised learning. Better	Compare and contrast supervised and unsupervised learning. Much better	Compare and contrast supervised and unsupervised learning. N/A
Describe two kinds of supervised learning.	Describe two kinds of supervised learning. Much worse	Describe two kinds of supervised learning. Somewhat worse	Describe two kinds of supervised learning. Unimproved - neither worse nor better	Describe two kinds of supervised learning. Better	Describe two kinds of supervised learning. Much better	Describe two kinds of supervised learning. N/A
Communicate and explain results from machine learning.	Communicate and explain results from machine learning. Much worse	Communicate and explain results from machine learning. Somewhat worse	Communicate and explain results from machine learning. Unimproved - neither worse nor better	Communicate and explain results from machine learning. Better	Communicate and explain results from machine learning. Much better	Communicate and explain results from machine learning. N/A
Develop a machine learning pipeline.	Develop a machine learning pipeline. Much worse	Develop a machine learning pipeline. Somewhat worse	Develop a machine learning pipeline. Unimproved - neither worse nor better	Develop a machine learning pipeline. Better	Develop a machine learning pipeline. Much better	Develop a machine learning pipeline. N/A

Much worse

Somewhat worse

Unimproved - neither worse nor better

Better

Much better

N/A

Explain the purpose of machine learning.

Explain the purpose of machine learning. Much worse

Explain the purpose of machine learning. Somewhat worse

Explain the purpose of machine learning. Unimproved - neither worse nor better

Explain the purpose of machine learning. Better

Explain the purpose of machine learning. Much better

Explain the purpose of machine learning. N/A

Compare and contrast supervised and unsupervised learning.

Compare and contrast supervised and unsupervised learning. Much worse

Compare and contrast supervised and unsupervised learning. Somewhat worse

Compare and contrast supervised and unsupervised learning. Unimproved - neither worse nor better

Compare and contrast supervised and unsupervised learning. Better

Compare and contrast supervised and unsupervised learning. Much better

Compare and contrast supervised and unsupervised learning. N/A

Describe two kinds of supervised learning.

Describe two kinds of supervised learning. Much worse

Describe two kinds of supervised learning. Somewhat worse

Describe two kinds of supervised learning. Unimproved - neither worse nor better

Describe two kinds of supervised learning. Better

Describe two kinds of supervised learning. Much better

Describe two kinds of supervised learning. N/A

Communicate and explain results from machine learning.

Communicate and explain results from machine learning. Much worse

Communicate and explain results from machine learning. Somewhat worse

Communicate and explain results from machine learning. Unimproved - neither worse nor better

Communicate and explain results from machine learning. Better

Communicate and explain results from machine learning. Much better

Communicate and explain results from machine learning. N/A

Develop a machine learning pipeline.

Develop a machine learning pipeline. Much worse

Develop a machine learning pipeline. Somewhat worse

Develop a machine learning pipeline. Unimproved - neither worse nor better

Develop a machine learning pipeline. Better

Develop a machine learning pipeline. Much better

Develop a machine learning pipeline. N/A

	Much worse	Somewhat worse	Unimproved - neither worse nor better	Better	Much better	N/A
Transform raw data into the correct format for machine learning.	Transform raw data into the correct format for machine learning. Much worse	Transform raw data into the correct format for machine learning. Somewhat worse	Transform raw data into the correct format for machine learning. Unimproved - neither worse nor better	Transform raw data into the correct format for machine learning. Better	Transform raw data into the correct format for machine learning. Much better	Transform raw data into the correct format for machine learning. N/A
Build clustering, classification or regression models.	Build clustering, classification or regression models. Much worse	Build clustering, classification or regression models. Somewhat worse	Build clustering, classification or regression models. Unimproved - neither worse nor better	Build clustering, classification or regression models. Better	Build clustering, classification or regression models. Much better	Build clustering, classification or regression models. N/A
Evaluate a machine learning algorithm.	Evaluate a machine learning algorithm. Much worse	Evaluate a machine learning algorithm. Somewhat worse	Evaluate a machine learning algorithm. Unimproved - neither worse nor better	Evaluate a machine learning algorithm. Better	Evaluate a machine learning algorithm. Much better	Evaluate a machine learning algorithm. N/A
Benchmark various machine learning models.	Benchmark various machine learning models. Much worse	Benchmark various machine learning models. Somewhat worse	Benchmark various machine learning models. Unimproved - neither worse nor better	Benchmark various machine learning models. Better	Benchmark various machine learning models. Much better	Benchmark various machine learning models. N/A

Much worse

Somewhat worse

Unimproved - neither worse nor better

Better

Much better

N/A

Transform raw data into the correct format for machine learning.

Transform raw data into the correct format for machine learning. Much worse

Transform raw data into the correct format for machine learning. Somewhat worse

Transform raw data into the correct format for machine learning. Unimproved - neither worse nor better

Transform raw data into the correct format for machine learning. Better

Transform raw data into the correct format for machine learning. Much better

Transform raw data into the correct format for machine learning. N/A

Build clustering, classification or regression models.

Build clustering, classification or regression models. Much worse

Build clustering, classification or regression models. Somewhat worse

Build clustering, classification or regression models. Unimproved - neither worse nor better

Build clustering, classification or regression models. Better

Build clustering, classification or regression models. Much better

Build clustering, classification or regression models. N/A

Evaluate a machine learning algorithm.

Evaluate a machine learning algorithm. Much worse

Evaluate a machine learning algorithm. Somewhat worse

Evaluate a machine learning algorithm. Unimproved - neither worse nor better

Evaluate a machine learning algorithm. Better

Evaluate a machine learning algorithm. Much better

Evaluate a machine learning algorithm. N/A

Benchmark various machine learning models.

Benchmark various machine learning models. Much worse

Benchmark various machine learning models. Somewhat worse

Benchmark various machine learning models. Unimproved - neither worse nor better

Benchmark various machine learning models. Better

Benchmark various machine learning models. Much better

Benchmark various machine learning models. N/A

Machine Learning with Python

Post-workshop survey

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* 1. When are you taking this survey?

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* 2. Please give us some feedback about the overall training event.

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* 3. How did you perceive the pace of the training?

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* 4. How was the balance of lecture to hands-on work?

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* 5. Please select how you felt the instructor performed.

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* 6. How has your knowledge of the following changed after the workshop?

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* 7. How has your confidence in doing the following tasks changed after the workshop?

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* 8. Is there anything else you'd like to add?