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Data Science Methodology Final Exam

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Question 1 Select the correct statement. 1 / 1 point The first stage of the data science methodology is Data Collection. The first stage of the data science methodology is Data Understanding. The first stage of the data science methodology is Modeling. The first stage of the data science methodology is Business Understanding. Question 2 ______________________ is an important stage in the data science methodology because it clearly defines the problem and the needs from a business perspective. 1 / 1 point Business Understanding Modeling Data Understanding Data Collection 3. Question 3 Which of the following analogies is used in the videos to explain the Data Requirements and Data Collection stages of the data science methodology? 1 / 1 point You can think of the Data Requirements and Data Collection stages as a cooking task, where the problem at hand is a recipe, and the data to answer the question is the ingredients. You can think of the Da...
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RECRUITMENT OF JUNIOR ASSOCIATES (CUSTOMER SUPPORT & SALES) Advertisement No. CRPD/CR/2022-23/15

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  RECRUITMENT OF JUNIOR ASSOCIATES (CUSTOMER SUPPORT & SALES) Advertisement No. CRPD/CR/2022-23/15 apply link Detailed Notification
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Data Visualization with Python

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  Data Analysis with Python -> week 5 -> Graded Quiz: Model Refinement What type of file allows data to be saved in a tabular format? html csv pdf 2.What Python library is used forstatistical modelling including regression and classification? Numpy Scikit-learn Matplotlib 3.In order to read any data using Python Pandas package what are the 2 most important factors? File types and format Format and file path Encoding scheme and file path 4.What does the tail() method return? It returns the first five rows It returns the data types of each column It returns the last five rows 5.According to this course datasets can be stored where? Sometimes online or server Server or local machine local machine or sometimes online 6. The Pandas library is mostly used for what? Machine learning Data analysis Data visualization 7.How would you check the bottom 10 rows of dataframe df? df.head() df.tail() df.tail(10) 8. What does the following code segment perform in a dataframe? df.dropna(subset...
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Machine Learning with Python -> Classification -> week 3

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  Machine Learning with Python -> Classification -> week 3 1. Which of the following examples is/are a sample application of Logistic Regression? (select all that apply) The probability that a person has a heart attack within a specified time period using the person's age and sex. Customer's propensity to purchase a product or halt a subscription in marketing applications. Estimating the blood pressure of a patient based on her symptoms and biographical data. Likelihood of a homeowner defaulting on a mortgage. 2. Which one is TRUE about the kNN algorithm? kNN is a classification algorithm that takes a bunch of unlabelled points and uses them to learn how to label other points. kNN algorithm can be used to estimate values for a continuous target. Question 3 3. What is " information gain " in decision trees? Question 3 What is " information gain " in decision trees? It is the information that can decrease the level of certainty after splitting in each...
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