Q#1: Help the data scientist in following issues being faced by them. A data scientist wants to find top influential users in Facebook who may help his company in spread of their advertisement. Which algorithm he should use and why? The data scientists, took balanced data, computed the features of various ranges and then applied KNN and he finds the accuracy results are not satisfactory. What do you think can be done to tackle this issue? You are planning to hire such developers who are excellent to work in new team. You have data of his projects which is in the form of Graph/Matrix. Which graph based measure/method you like to carry out to check which developer is the best for making teams with diverse other developers. d) The Disease haemophilia A occurs exclusively in males. But a female patient visited doctor and he diagnosed her with haemophilia A. What would you interpret this error in terms of Confusion Matrix. What is positive class in this example. Using rule based predictions, two rules predcited two diverse class labels. So, what the data scientist should do in this regard?