Questions & Answers

Instructor: Applied AI Course Duration: 30 mins

Revision Questions:

  1. What is PDF?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/gaussiannormal-distribution-1/)
  2. What is CDF?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/introduction-to-correlation-and-co-variance-1/)
  3. explain about 1-std-dev, 2-std-dev, 3-std-dev range?
  4. What is Symmetric distribution, Skewness and Kurtosis?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/symmetric-distribution-skewness-and-kurtosis/)
  5. How to do Standard normal variate (z) and standardization?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/standard-normal-variate-z-and-standardization/)
  6. What is Kernel density estimation?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/kernel-density-estimation/)
  7. Importance of Sampling distribution & Central Limit theorem.(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/sampling-distribution-central-limit-theorem/)
  8. Importance of Q-Q Plot: Is a given random variable Gaussian distributed?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/q-q-plothow-to-test-if-a-random-variable-is-normally-distributed-or-not/)
  9. What is Uniform Distribution and random number generators(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/uniform-distribution-random-number-generators/)
  10. What Discrete and Continuous Uniform distributions?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/uniform-distribution-and-its-parameters-pdf-and-cdf/)
  11. How to randomly sample data points?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/uniform-distribution-random-number-generators/)
  12. Explain about Bernoulli and Binomial distribution?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/bernoulli-and-binomial-distribution/)
  13. What is Log-normal  and power law distribution?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/log-normal-distribution/)
  14. What is Power-law & Pareto distributions: PDF, examples(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/power-law-distribution/)
  15. Explain about Box-Cox/Power transform?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/box-cox-transform/)
  16. What is Co-variance?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/co-variance/)
  17. Importance of Pearson Correlation Coefficient?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/pearson-correlation-coefficient-3/)
  18. Importance Spearman Rank Correlation Coefficient?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/spearman-rank-correlation-coefficient-3/)
  19. Correlation vs Causation?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/correlation-vs-causation-3/)
  20. What is Confidence Intervals?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/confidence-interval-c-i-introduction/)
  21. Confidence Interval vs Point estimate?
  22. Explain about Hypothesis testing?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/hypothesis-testing-testing-methodology-null-hypothesis-p-value/)
  23. Define Hypothesis Testing methodology, Null-hypothesis, test-statistic, p-value?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/hypothesis-testing-testing-methodology-null-hypothesis-p-value/)
  24. How to do K-S Test for similarity of two distributions?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/k-s-test-for-similarity-of-two-distributions-3/)

Self Learning:

  1. You are given a data set. The data set has missing values which spread along 1 standard deviation from the median. What percentage of data would remain unaffected? Why?(https://www.analyticsvidhya.com/blog/2016/09/40-interview-questions-asked-at-startups-in-machine-learning-data-science/)
  2. You are given a data set consisting of variables having more than 30% missing values? Let’s say, out of 50 variables, 8 variables have missing values higher than 30%. How will you deal with them?(https://www.analyticsvidhya.com/blog/2016/09/40-interview-questions-asked-at-startups-in-machine-learning-data-science/)

**If you face any new Interview questions please put in comments ,we will work it out**

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