Sutherland Global Services Data Scientist Interview Questions and Answers

Q1. What is hypothesis testing
Ans. 
Hypothesis testing is a statistical method used to make inferences about a population based on sample data.
• It involves formulating a hypothesis about a population parameter, collecting data, and using statistical tests to determine if the data supports or rejects the hypothesis.

• There are two types of hypotheses: null hypothesis (H0) and alternative hypothesis (H1).

• Common statistical tests for hypothesis testing include...read more
Answered by AI
Add your answer
Q2. What is null hypothesis
Ans. 
Null hypothesis is a statement that there is no significant difference or relationship between variables being studied.
• Null hypothesis is typically denoted as H0 in statistical hypothesis testing.

• It is the default assumption that there is no effect or relationship.

• The alternative hypothesis (Ha) is the opposite of the null hypothesis.

• For example, in a study testing a new drug, the null hypothesis would be that the drug...read more
Answered by AI
Add your answer
Q3. What is supervised and unsupervised learning
Ans. 
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data.
• Supervised learning requires labeled data for training

• Unsupervised learning does not require labeled data

• Examples of supervised learning include classification and regression

• Examples of unsupervised learning include clustering and dimensionality reduction
Answered by AI
Add your answer

Normal Case study regarding Predictive modelling

Q1. Ml Related questions
Add your answer
Q2. Basic ML and Project related questions
Add your answer