Answer / Raj Mishra

Comparing a single-layer neural network (perceptron) to logistic regression involves analyzing their performances on the same dataset. Both models are used for binary classification problems but differ in complexity and computational requirements. Logistic regression is simpler, linear, and faster while neural networks can model complex relationships between variables.

Who can be scientific data there are three general steps to becoming a data scientist?

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What do you understand by decision tree?

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What is a recall?

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What is missing value imputation? How do you handle missing values in python or r?

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What is association analysis?

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Suppose that American Express has 1 million card members along with their transaction details. They also have 10,000 restaurants and 1000 food coupons. Suggest a method which can be used to pass the food coupons to users given that some users have already received the food coupons so far.

1 Answers   American Express,

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What are the various types of selection bias?

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You have a bag with 6 marbles. One marble is white. You reach the bag 100 times. After taking out a marble, it is placed back in the bag. What is the probability of drawing a white marble at least once?

1 Answers   Microsoft,

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Can you explain eigenvalue and eigenvector?

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How can you produce co-relations and covariances?

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How will you test that there is increased probability of a user to stay active after 6 months given that a user has more friends now?

1 Answers   Facebook,

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State the difference between a validation set and a test set?

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