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python data science mcq

What will be output for the following code? So you can not only transform and manipulate data, but you can also create strong pipelines and machine learning workflows in a single ecosystem. temp = np.loadtxt(filename, filling_values=filling_values), C) filling_values = (“-“, 0, 01/01/2010, 0) 9. 7. For the above graph, the code for producing the plot was. print a, A. Which of the following makes use of pandas and returns data in a series or dataFrame? 32) Which of the following will be the output of the below print statement? A Computer Science portal for geeks. We want to convert the below string in date-time value: 6) To convert the above string, what should be written in place of date_format? When you change the values of the first array, the values for the second array also changes. What will be output for the following code. 28) Suppose you are defining a tuple given below: Now, you want to update the value of this tuple at 2nd index to 10. 17) Which of the following will be the output of the given print statement: Sigmoid function is usually used for creating a neural network activation function. What will be output for the following code. A) pd.read_csv(“temp.csv”, compression=’gzip’), B) pd.read_csv(“temp.csv”, dialect=’str’), C) pd.read_csv(“temp.csv”, encoding=’utf-8′), Option C is correct, because encoding should be ‘utf-8’. Suppose you are given a monthly data and you have to convert it to daily data. 30) To read the title of the webpage you are using BeautifulSoup. A. DataFrame.from_items C. Both A and B Here’s data you have collected. Explanation: ndarray is also known as the "alias array". You can also see where you stand among other people in the community. I have built a simple neural network for an image recognition problem. A. ndarray is also known as the axis array. To perform this action, I am giving an identity matrix as input. A. These Python Pandas Multiple Choice Questions (MCQ) should be practiced to improve the Data Science skills required for various interviews (campus interview, walk-in interview, company interview), placements, entrance exams and other competitive examinations. To perform this task, which of the following actions you would take? B. Matplotlib [1] C. Labeled axes (rows and columns) B. narray print dt, Explanation: The output is as follows : int32. 18) It is necessary to know how to find the derivatives of sigmoid, as it would be essential for backpropagation. What is the code for this? 9. B. A) new_df = pd.concat([df]*30, index = False), B) new_df = pd.concat([df]*30, ignore_index=True), C) new_df = pd.concat([df]*30, ignore_index=False). This is as follows: Note: Numpy library has been imported as np, A) resulting_set = train_set.append(test_set), B) resulting_set = np.concatenate([train_set, test_set]), C) resulting_set = np.vstack([train_set, test_set]), Both option A and B would do horizontal stacking, but we would like to have vertical stacking. Note: numpy library has been imported as np. It will not only help you assess your skill. I have updated the same. A) Check memory of both arrays, if they match that means the arrays are same. A) 1 is view of original dataframe and 2 is a copy of original dataframe. Learn Data Science Data Analysis with Python Multiple Choice Questions and Answers with explanations. C. [1, 2, 3] Below is my identity matrix: 7) How would you create this identity matrix in python? A. [email protected],aa,Owner,2014 Which of the following takes a dict of dicts or a dict of array-like sequences and returns a DataFrame? D. darray. We request you to post this comment on Analytics Vidhya's, 40 Questions to test your skill in Python for Data Science. np.identity(3), which is option (B) does exist: https://docs.scipy.org/doc/numpy/reference/generated/numpy.identity.html D. Both B and C, Explanation: NumPy is often used along with packages like SciPy (Scientific Python) and Matplotlib (plotting library). 9. Applied Machine Learning – Beginner to Professional, Natural Language Processing (NLP) Using Python. Not only this, if you want to learn Deep Learning, Python clearly has the most mature ecosystem among all other languages. D. In Numpy, dimensions are called axes. reviews = [‘movie is unwatchable no matter how decent the first half is  . 4. And option C is wrong, because the syntax is incorrect. B. Javascript Top 5 Statistical Concepts Every Data Scientist Should Know in 2020! 22) In above dataframe df. 6. This test was conducted as part of DataFest 2017. I thought of adding a twist to the game. D. size(size). [email protected],ee,Member,2020 A. Ruby B. (adsbygoogle = window.adsbygoogle || []).push({}); Python is increasingly becoming popular among data science enthusiasts, and for right reasons. 23) You write a code for preprocessing data, and you notice it is taking a lot of time. Note: Python regular expression library has been imported as re. 4. The new index is given as: new_index=[‘Safari’,’Iceweasel’,’Comodo Dragon’,’IE10′,’Chrome’]. Explanation: Pandas is built on the Numpy package and its key data structure is called the DataFrame. 11) Which command will be appropriate to fill missing value while reading the file with numpy? B. DataFrame Your friend has a hypothesis – “All those people who have names ending with the sound of “y” (Eg: Hollie) are intelligent people.” Please note: The name should end with the sound of ‘y’ but not end with alphabet ‘y’. C) Both are copies of original dataframe. In order to extract only the domain names from the email addresses from the above string (for eg. Explanation: Index values must be unique and hashable, same length as data. Hint: You have to extract text in title tag. Note: HDFS file has been loaded by h5py as hf. 10. You write following code do to the same: 3) What should be the value of “pattern” in regular expression? For this, which of the following command would help you find out the names of HDFS keys? To identify how many shots a person is having in the entire game, you are supposed to write a code. There is no best value for seed. Note: Numpy has been imported as np and dataframe is set as df. C. DataFrame.from_dict Which of the following will be the right output for the below print statement? One If you are learning Python, make sure you go through the test above. 2. 34)What value should we split on to get individual words? Which of the following code will find the name of all cities which are present in “City_A” but not in “City_B”. 1. Zero NumPy is often used along with packages like? C. SciPy It depends on the data. 2   False 21) In many data science projects, you are required to convert a dataframe into a dictionary. These Python NumPy Multiple Choice Questions (MCQ) should be practiced to improve the Data Science skills required for various interviews (campus interview, walk-in interview, company interview), placements, entrance exams and other competitive examinations. Note: Library numpy has been imported as np. This section focuses on "Python NumPy" for Data Science. Note: Pickle library has been imported as pkl. Explanation: Adjusting the size of the buffer may therefore alter the speed at which ufunc calculations of various sorts are completed. Refer the official docs of pandas library. So option B is correct. Series is a one-dimensional labeled array capable of holding any data type. A) 0   False Explanation: Pandas is an open-source Python Library providing high-performance data manipulation and analysis tool using its powerful data structures. D. All of the above. 40) Which of the following is a correct implementation of mean squared error (MSE) metric? B. Python is increasingly becoming popular among data science enthusiasts, and for right reasons.

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