question

Overfitting is a common mistake that can happen in any data model. But the real task is how will you ensure that you are not Overfitting with a model? (Hint- Don’t hesitate to explain various methods to prevent overfitting)

You are assigned a new project which involves helping a food delivery company save more money. The problem is, company’s delivery team aren’t able to deliver food on time. As a result, their customers get unhappy. And, to keep them happy, ...

You are working on a time series data set. You manager has asked you to build a high accuracy model. You start with the decision tree algorithm, since you know it works fairly well on all kinds of data. Later, you ...

You are given a data set based on the cancer detection results. You’ve built a classification model and achieved an accuracy of 95%. Are you satisfied by the performance? If not, suggest a way to improve it.

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? (Hint- Don’t forget to mention about the thought process that you put for ...

If yes, Why? What will happen if you don’t rotate the components?

Hint- Someone having deep understanding of the concepts will have a good idea of great datasets out there.

Most of the companies are looking for people with a formal experience in the field. Try to gather the research summary of your completed projects

What are some of the latest machine learning papers that you have read? (Name along with the information they cover)

You are given a train data set having 2000 rows and 1.2 Million columns. The data set is based on a classification problem. You are asked to reduce the dimension of this data so that model computation time can become ...