Question 1

role of hypothesis

Question

what is the role of hypothesis in linear regression?

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Machine Learning 55 years 0 Answers 421 views Master

Question 2

difference between linear and logidtic

Question

what is the difference between linear and logidtic regression?

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Machine Learning 55 years 0 Answers 524 views Master

Question 3

Regularization

Question

I have been reading about regularization since some time and want to hear from everyone what it means (in the simplest possible terms). Also, do define L1 and L2 regularization as if you are talking to a 10 year old child.

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Machine Learning 55 years 1 Answer 619 views Member

Question 4

Model with high R^2 and low performance in Linear and Logistic Regression

Question

Is it possible to have a Linear or Logistic Regression model with high R^2 and low performance/use in your project

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Machine Learning 55 years 1 Answer 661 views Grand Master

Question 5

Create a linear regression model within 20 minutes in Python

Question

This question was asked in one of the interviews where the ask was to create a Linear Regression model from importing library to the final prediction within 20 minutes. The objective was to check if you can think fast and are ...

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Machine Learning 55 years 2 Answers 742 views Grand Master

Question 6

What is Log Likelihood?

Question

Define Log likelihood in layman terms

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Machine Learning 55 years 2 Answers 935 views Grand Master

Question 7

Confidence Interval

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Confidence interval is a range of value that we can surely believe to be true. Can you give an example (numerical/explanation) to elaborate? The above statement is to make sure that you do not comment or answer the above question with ...

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Machine Learning 55 years 3 Answers 921 views Grand Master

Question 8

What to do if you have 2 variables in a Linear Regression model with high multicollinearity ? How do you decide which one to remove from the model?

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You have two variables age and years of experience to determine salary of a person. age and year of exp is highly correlated. What to do?

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Machine Learning 55 years 6 Answers 799 views Grand Master

Question 9

Differentiate between high bias and high variance

Question

Differentiate between high bias and high variance on the following ground:- -complexity of model -performance on train and test dataset -fit This will clear your concept of bias and variance

solved 1

Machine Learning 55 years 7 Answers 1065 views Grand Master

Question 10

Every t-value has a p-value, explain.

Question

This one question was asked in the Hiring Manager round in one of the best Product based companies which we all are familiar with. Explain why every t-value has a p-value

solved 0

Machine Learning 55 years 9 Answers 971 views Grand Master

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