What is Cloud Gaming?

Data science is rapidly dominating the world with its diverse usage in various industries. It currently plays a critical role in profit generation. Many young people are interested in data science. Data Scientists generate wonders and deliver the most outstanding results by combining Artificial Intelligence (AI), Machine Learning (ML), and many other technologies. So let’s discuss some of the Data Science interview questions in this article.

Interview Questions

Question 1: Describe model deployment in Data Science?

Answer: In Data Science, the term "deployment" refers to using a model to make predictions based on new data. Building a model is rarely the last step in a project. Even if the model's purpose is to increase data comprehension, the information acquired must be organized and structured in a form that the client can understand.

Question 2: In Data Science, what is logistic regression?

Answer: Logistic regression is a strategy for predicting a binary outcome by combining predictor variables in a linear way.

Question 3: What are three types of biases that can occur during sampling?

Answer: Three types of biases during sampling are:

1. Selection bias
2. Under coverage bias
3.  Survivorship bias

Question 4: What is the decision tree algorithm?

Answer: A prominent supervised machine learning algorithm is the decision tree. It's primarily used for classification and regression, and it helps you break down a large dataset into smaller chunks. The decision tree can handle both category and numerical data.

Question 5: What is the difference between prior probability and likelihood?

Answer: The likelihood is the probability of correctly classifying a set of data in the existence of another variable. In contrast, the prior probability is the percentage of the dependent variable in the data set.

Question 6: Describe the recommender system?

Answer: The recommender system is a subcategory of information filtering methods. It aids in predicting the preferences or evaluations that users are likely to confer on a product.

Question 7: List the Python libraries that Data Analysts use?

Answer:  The Python libraries used by Data Analysts are:

• SciPy
•  Pandas
• Matplotlib
•  NumPy
• Scikit
• Seaborn 

Question 8: What is collaborative filtering?

Answer: Collaborative filtering is a method of searching for the right patterns by combining numerous data sources and entities.

Question 9: Describe bias?

Answer: Bias is defined as an inaccuracy produced in your model as a result of an oversimplification of a machine learning method. It can result in underfitting.

Question 10: Define linear regression?

Answer: Linear regression is a statistical programming method that predicts the value of a variable 'A' based on the value of another variable 'B.' B is the predictor variable. In contrast, A is known as the criteria variable.

Data Science with InfosecTrain

With data's wide acceptance, it's no wonder that there are a plethora of excellent prospects for a challenging position in Data Science. If you want to advance your Data Science career, you should look into InfosecTrain's Data Science Courses to learn with industry experts.