What is machine learning? What is the difference between supervised and unsupervised methods?
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What are the types of biases that can occur during sampling?
What is churn? How would it help predict and control churn for a customer?
Which one you prefer R or Python for text analytics?
How do you check for data quality?
When do you need to update the algorithm in data science?
What is machine learning and how can it be used for time series analysis?
Explain the term "data warehouse".
Differentiate between data modeling and database design?
What do you mean by p-value?
Explain how can you assess a good logistic model?
Can you explain collaborative filtering?
How will you deal with unbalanced data where the ratio of negative and positive is huge?
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