Indeed Interview Questions, Process, and Tips

Q1. 2 sets of SQL questions
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Q2. 1 python question
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Q1. Previously experience
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Q2. How my experience would be valuable in this new role
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Python,Sql ,multiple choice

Q1. What is p value
Ans. 
The p value is a measure used in hypothesis testing to determine the significance of the results.
• The p value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.

• A p value of less than 0.05 is typically considered statistically significant.

• A p value greater than 0.05 suggests that the results are not statistically significant.

• Researchers use p values to determ...read more
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Q2. Calculate probability of unfair coin tossed n times and do hypothesis testing
Ans. 
Calculate probability of unfair coin tossed n times and do hypothesis testing
• Calculate the theoretical probability of getting heads or tails for the unfair coin

• Perform the actual coin toss n times and record the outcomes

• Use hypothesis testing to determine if the coin is unfair based on the observed outcomes
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Q1. What is bagging and boosting?
Ans. 
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.
• Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.

• Boosting involves training multiple models sequentially, where each subsequent model c...read more
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Q2. Question on graphs
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Q1. Challenges i faced
Ans. 
Adapting to new technologies, managing large datasets, collaborating with cross-functional teams
• Adapting to new technologies in data analysis and visualization tools

• Managing large datasets efficiently to derive meaningful insights

• Collaborating with cross-functional teams to align on project goals and deliverables
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Q2. About my experience mentioned in my resume
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