Given measurements of acceleration taken from a wristband, with second by second acceleration in the X, Y, Z axis, how would you predict if the person wearing the wrist is sitting, walking or just standing?
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Basic ML problem like different between bagging and boosting? SVM kernel? LR optimization? FM? Building classification model, how to consider interactive term
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From the csv files, how is "A" improved over "B"? Do you have any other findings?
Let's say you finished developing a machine learning model and you are getting 95% accuracy. Should you be happy?
Two random cards numbered from 1,2...100 are pulled from the deck. What is the probability that one number doubles the other from the deck.
Learning models and a few algorithm questions.
How familiar are you with MS Excel
I was asked to complete a complex and open-ended data science task. Really used the full range of my data science skills.
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