Explain how can you assess a good logistic model?
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Can you define data discretization?
What are Type 1 and Type 2 errors ?
Explain the goal of a/b testing?
Discuss normal distribution
How will you design the heatmap for Uber drivers to provide recommendation on where to wait for passengers? How would you approach this?
How decision tree algorithm is different from the random forest algorithm?
How will inspect missing data and when are they important for your analysis?
How can you compute an inverse matrix faster by playing with some computation tricks?
Name three disadvantages of using a linear model?
What are various steps involved in an analytics project?
Explain supervised learning?
What is logistic and linear regression? Name some packages in r and python for building regression models.
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