Data Science Interview Questions
Questions Answers Views Company eMail

Discuss artificial neural networks

93

Is it possible to capture the correlation between continuous and categorical variable?

114

why do you need to perform resampling?

84

What is a random forest?

99

How to determine the number of clusters in k-means clustering algorithm?

93

Discuss linear regression?

103

Which is the best suitable language among python and r for text analytics?

98

Differentiate between supervised and unsupervised learning?

95

What do you understand by bias, variance trade-off?

97

Explain reinforcement learning.

95

What do you understand by l1 and l2 regularization methods?

107

What are the differences between data science, machine learning, and artificial intelligence?

90

What do you understand by clustering?

91

Differentiate between regression and classification algorithms?

105

Explain the decision tree algorithm?

136


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Un-Answered Questions { Data Science }

What is a linear regression?

95


How would you create a taxonomy to identify key customer trends in unstructured data?

141


What are the various classification algorithms?

115


Where is association analysis used?

115


What is bias – variance tradeoff?

96






Name some packages in r and python for building regression models.

96


Can you use machine learning for time series analysis?

135


Can you define feature vector?

91


What do you mean by the term linear regression?

103


How can outlier values be treated?

161


What are generators in Python?

127


What is machine learning? What is the difference between supervised and unsupervised methods?

90


What is the difference between skewed and uniform distribution?

108


Define the unit test with PyUnit?

103


Is it possible to perform logistic regression with Microsoft Excel?

170