QuestionsQ1. Describe the business problem and the potential value of the predictive model to theclient. Propose an analytic solution to the problem and support yourrecommendation with references to the conducted data and text analytics.Q2. Explore the sample data using descriptive statistics, frequency plots and clusteranalysis. Specifically identify any missing, anomalous or inconsistent datacharacteristics, explaining the potential impact.Q3. Describe any treatments or transformations undertaken to resolve, missing,anomalous or inconsistent data characteristics.AssignmentCase StudyMIS772 Predictive Analytics Assignment A23 of 4Q4. Perform text analytics on the "Review" data item, generating at least 5 topicclusters. Provide a description for each of the clusters generated.Q5. Develop at least three analytic models to predict whether or not the customers arelikely to recommend the airline services and their perception of value for money,for each of the following combinations of input characteristics:a. Using only the structured data (using appropriate columns)b. Using only the text data (using only the generated text topics and clusters)c. Using both structured and text dataQ6. For all models provide a summary of the model assessment statistics over thetraining and validation data sets.Q7. Select the best predictive model, possibly an ensemble model, and provide asummary of the model and its performance.