what are the self test answers ikn the data course

by Vinnie Mertz 6 min read

How many times can I take the data course test?

You can take the DATA course test as many times as you need with no additional charge. If you pay attention to the course the test is not difficult. What happens when I finish the DATA course and pass the test?

How do I find the answer to a test question?

How to find: Press “Ctrl + F” in the browser and fill in whatever wording is in the question to find that question/answer. If the question is not here, find it in Questions Bank. NOTE: If you have the new question on this test, please comment Question and Multiple-Choice list in form below this article.

How do you acquire data for a supervised learning algorithm?

The only way to acquire data for a supervised learning algorithm is to manually label it. I.e., given the input A, to ask a human to provide B. 5. Which of these statements regarding data acquisition do you agree with? It doesn’t matter how data is acquired. The more data, the better.

How many questions are on the online permit test?

The Online Permit test is a timed test of 50 questions. Once you begin you are given 60 minutes to complete the test and you must get 40 correct to Pass the Permit Test. You must complete the Permit Test in one session - you cannot log out or pause the test.

1. What is logistic regression?

Logistic regression is also known as the logit model. It is a technique used to forecast the binary outcome from a linear combination of predictor...

2. What are the feature vectors?

A feature vector is an n-dimensional vector of numerical features that represent an object. In machine learning, feature vectors are used to repres...

3. What is root cause analysis?

Root cause analysis was initially developed to analyze industrial accidents but is now widely used in other areas. It is a problem-solving techniqu...

4. What are the steps in making a decision tree?

1. Take the entire data set as input. 2. Look for a split that maximizes the separation of the classes. A split is any test that divides the data i...

5. What is root cause analysis?

Root cause analysis was initially developed to analyze industrial accidents but is now widely used in other areas. It is a problem-solving techniqu...

6. What are recommender systems?

Recommender systems are a subclass of information filtering systems that are meant to predict the preferences or ratings that a user would give to...

7. How can you select k for k-means?

We use the elbow method to select k for k-means clustering. The idea of the elbow method is to run k-means clustering on the data set where 'k' is...

8. What is collaborative filtering?

Most recommender systems use this filtering process to find patterns and information by collaborating perspectives, numerous data sources, and seve...

9. What is the goal of A/B Testing?

This is statistical hypothesis testing for randomized experiments with two variables, A and B. The objective of A/B testing is to detect any change...

10. What is selection bias?

Selection bias, in general, is a problematic situation in which error is introduced due to a non-random population sample.

How many questions are asked in a data science interview?

Here are 26 data science interview questions, each followed by an acceptable answer. The questions will be mixed by difficulty and topic, but all pertain to machine learning and data science. I would recommend just looking at the question and taking a moment to think of the answer before continuing to verify your answer.

How to prepare data for modelling?

Prepare the data for modelling by cleaning it (detecting outliers, missing values, transforming variables, etc.).

What is a recommender system?

Recommender systems are a subclass of information filtering systems that are meant to predict the preferences or ratings a user would give to a product. Recommender systems are widely used in movies, news, research articles, products, music, and more.

Can college students test their skills?

Whether you’re a college student or an experienced professional, everyone can spend some time to test (or refresh) their skills!

What is bivariate data analysis?

Bivariate data involves two different variables. The analysis of this type of data deals with causes and relationships and the analysis is done to determine the relationship between the two variables.

What are the two main methods of feature selection?

There are two main methods for feature selection, i.e, filter, and wrapper methods.

Why are new models compared to each other?

The new models are compared to each other to determine which model performs the best.

What is a simpleliarn?

Simplilearn is one of the world’s leading providers of online training for Digital Marketing, Cloud Computing, Project Management, Data Science, IT, Software Development, and many other emerging technologies.

Is data science the sexiest job in the 21st century?

Harvard Business Review referred to data scientist as the “Sexiest Job of the 21st Century.” Glassdoor placed it #1 on the 25 Best Jobs in America list. According to IBM, demand for this role will soar 28 percent by 2020. It should come as no surprise that in the new era of big data and machine learning, data scientists are becoming rock stars. Companies that are able to leverage massive amounts of data to improve the way they serve customers, build products, and run their operations will be positioned to thrive in this economy.

Is data science easy to learn?

For data scientists, the work isn't easy, but it's rewarding and there are plenty of available positions out there. These data science interview questions can help you get one step closer to your dream job. So, prepare yourself for the rigors of interviewing and stay sharp with the nuts and bolts of data science.

What are the three models necessary to test mediation for Lambert et al.’s data?

Run the three models necessary to test mediation for Lambert et al.’s data: (1) a linear model predicting Phys_Inf from LnPorn; (2) a linear model predicting Commit from LnPorn; and (3) a linear model predicting Phys_Inf from both LnPorn and Commit. Is there mediation?

How to run chi square test?

To run the chi-square tests, select Analyze > Descriptive Statistics > Crosstabs …. Drag Training into the box labelled Row (s) (or click ). Next, drag Dance to the box labelled Column (s) (or click ). The completed dialog box should look like this:

What section of the Download Festival plot histograms?

Using what you learnt in Section 5.4, plot histograms for the hygiene scores for days 2 and 3 of the Download Festival.

Is the whisker distribution symmetrical?

If the whiskers are the same length then the distribution is symmetrical (the range of the top and bottom 25% of scores is the same); however, if the top or bottom whisker is much longer than the opposite whisker then the distribution is asymmetrical (the range of the top and bottom 25% of scores is different).

Does the classification plot predict penalty success?

The classification plot is similar to before and the contribution of PSWQ to predicting penalty success is relatively unchanged. What has changed is the contribution of previous experience. If we examine the values of the odds ratio for both Previous and Anxious it is clear that they both potentially have a positive relationship to penalty success (i.e., as they increase by a unit, the odds of scoring improve). However, the confidence intervals for these values cross 1, which indicates that the direction of this relationship may be unstable in the population as a whole (i.e., the value of the odds ratio in our sample may be quite different from the value if we had data from the entire population).

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