Crif Solutions Intern Interview Questions, Process, and Tips

You will be given a dataset and a questionnaire to be solved over it

Q1. Explain confidance interval
Ans. 
Confidence interval is a range of values that is likely to contain the true population parameter with a certain level of confidence.
• Confidence interval is used to estimate the population parameter based on a sample statistic.

• It is calculated by taking the sample mean and adding or subtracting the margin of error.

• The level of confidence is typically set at 95% or 99%.

• For example, a 95% confidence interval for the averag...read more
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Q2. Explain logistic regression
Ans. 
Logistic regression is a statistical method used to analyze and model the relationship between a binary dependent variable and one or more independent variables.
• It is used to predict the probability of a binary outcome (0 or 1).

• It uses a sigmoid function to map the input values to the output probability.

• It is commonly used in machine learning for classification problems.

• Example: predicting whether a customer will buy a...read more
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Q3. Use of confusion matrix
Ans. 
Confusion matrix is a table used to evaluate the performance of a classification model.
• It helps in calculating various metrics like accuracy, precision, recall, F1 score, etc.

• It compares the predicted values with the actual values to identify true positives, true negatives, false positives, and false negatives.

• It is commonly used in machine learning and data science to evaluate the performance of classification models.

• ...read more
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Q4. Explain academic projects
Ans. 
Academic projects are assignments given to students to apply their theoretical knowledge in practical scenarios.
• Academic projects are designed to help students gain hands-on experience in their field of study.

• They require students to apply their theoretical knowledge to solve real-world problems.

• Examples of academic projects include building a website, designing a software application, conducting a research study, or c...read more
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Q1. What do you know about crif
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Q2. What do you want to learn here
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