Data Science and Machine learning Interview questions for beginners( entry level )
Here are top 25 interview question which a data science interviewee can expect when he/she appears as entry level data scientist in any interview.
Though these questions seems easy for someone who had already got hands dirty with basic data science and machine learning concepts like: statistics, data science and machine leaning algorithms.
It is always good to have your basics clear before rising up and stand for solving bigger problems.
So here are the question which one should must know before going for interview :
1. What is the other name of Box Plot?
Ans. Box Plot is also called a Box and Whisker Plot.
2. What is the full form of IQR?
Ans. IQR stands for Interquartile Range.
3. The logit function (given as l(x)) is the log of odds function. What could be the range of logit function in the domain x = [0,1]?
Ans. The range of logit function in the domain x = [0,1] is (-inf, inf).
4. How do you create a numpy array of 3x3 random ints between 0 and 10?
Ans. To create a numpy array of 3x3 random ints between 0 and 10, we can use np.random.randint(0, 10, (3, 3)).
5. Logistic Regression is best for which kind of problem?
Ans. Logistic Regression can be used for classification.
6. The category or variable to be predicted is called as ?
Ans. The category or variable to be predicted is called Target variable.
7. What is the full form of Numpy?
Ans. The full form of Numpy is Numerical Python.
8. Can Standard deviation be negative ?
Ans. Standard deviation can't be negative because it is a measure of spread and distance is always positive.
9. How to import csv files using pandas?
Ans. In pandas, csv files can be imported using pd.read_csv().
10. Import pandas statement will be like ?
Ans. Pandas can be imported using import pandas as pd.
11. Measures to analyze the central tendency of data?
Ans. Mean, Median and Mode are used to analyze the central tendency of data.
12. What is the range of values of a logistic function?
Ans. The range of values of a logistic function is from 0 to 1.
13. Is Logistic regression a supervised machine learning algorithm?
Ans. Yes, Logistic regression is a supervised machine learning algorithm.
14. Random forest is an example of which technique - Bagging or Boosting ?
Ans. Random forest is an example of Bagging.
15. You created a machine learning model to predict whether a patient is diabetic. This is an example of:
Ans. Predicting whether a person is diabetic or not is a type of binary classification.
16. What does the least squares method do exactly?
Ans. Least squares method finds those (best) values of the intercept and slope that provide us with the smallest value of the sum of residuals.
17. Definition of machine learning ?
Ans. Machine learning is the field of study that gives computers the ability to learn without being explicitly programmed.
18. Is your weight a discrete or continuous value?
Ans. Weight is a continuous value.
19. How many decision trees are there in a random forest?
Ans. A random forest is a collection of decision trees. It can have any number of trees greater than 1.
20. What is the shape of a normal distribution?
Ans. The normal distribution has a bell shape.
21. What does a linear regression analysis examine?
Ans. Linear regression analysis examines both the relationship between two variables and the relationship between many variables.
24. What are the two types of Supervised Learning?
Ans. Regression and Classification are the two types of Supervised Learning.
25. What are the key skills in data science?
Ans. Data Visualization, Machine Learning, and Statistics are all key skills in Data Science.
Bonus. Appropriate chart for visualizing the relationship between two continuous variables ?
Ans. Scatter Plot is the appropriate chart for visualizing the relationship between two continuous variables.
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