Table of Contents
machine learning interview question :
Which question mostly ask in tcs and wipro interview for python developer?
welcome to python crash course tutorial, today we see different kind of question which ask in interview. Let’s start:
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| fig 01)machine learning interview question-beginners-preparation |
1] You are given a data set. The data set has missing values which spread along one deviation from the median. What percentage of data would remain unaffected? Why?
2] You are given a data set on corona detection. You’ve build a classification model and achieved an accuracy of 91%. Why should not you be happy with your model performance?
3] Why is naive Bayes so ‘naive’ ?
4] How to use Linear Regression? Explain with algorithm?
5] What is difference between logistic and linear regression?
6] Give the example of logistic regression?
7] Use of support vector machine in machine learning?
8] what is Natural language processing?
9] Explain prior probability, likelihood and marginal likelihood in context of naiveBayes algorithm?
10] You are working on a time series data set. You boss has asked you to build a high accuracy model. You start with the decision trees algorithm, since you know it works fairly well on all kinds of data. Later, you tried a time serie regression model and got higher accuracy than decision tree model. Can this happen?
11] What are the advantages and disadvantages of neural networks?
12] How you can classify training and testing data?
13] What is deep learning?
14] What is supervised learning?
15] What is unsupervised learning?
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Also see : python Interview Question
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