How will you design the heatmap for Uber drivers to provide recommendation on where to wait for passengers? How would you approach this?
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Explain the differences between bivariate and multivariate analysis?
What does pip installation?
During analysis, how do you treat missing values?
How will you overcome overfitting in predictive models?
In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?
In a given day, how many birthday posts occur on Facebook?
What are the major skills data scientist need?
How to determine the number of clusters in k-means clustering algorithm?
A building has 100 floors. Given 2 identical eggs, how can you use them to find the threshold floor? The egg will break from any particular floor above floor N, including floor N itself.
What are the steps involved in analytics projects?
Can you explain cross-validation?
What assumptions does linear regression machine learning algorithm make?
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