- How can you assess a good logistic model?
- What are various steps involved in an analytics project?
- During analysis, how do you treat missing values?
- Explain about the box cox transformation in regression models
- Can you use machine learning for time series analysis?
- Write a function that takes in two sorted lists and outputs a sorted list that is their union.
- What is Regularization and what kind of problems does regularization solve?
- What is multicollinearity and how you can overcome it?
- What is the curse of dimensionality?
- How do you decide whether your linear regression model fits the data?
- What is the difference between squared error and absolute error?
- What is Machine Learning?
- How are confidence intervals constructed and how will you interpret them?
- How will you explain logistic regression to an economist, physican scientist and biologist?
- How can you overcome Overfitting?
- Differentiate between wide and tall data formats?
- Is Naïve Bayes bad? If yes, under what aspects.
- How would you develop a model to identify plagiarism?
- How will you define the number of clusters in a clustering algorithm?
- Is it possible to perform logistic regression with Microsoft Excel?
Get Answer for all the above questions and place in your dream company