Assignment ID Number AFFGEHU83939HD Type of Document Essay Writing Format APA/MLA/Harvard Academic Level Masters/University References/Sources 4 References Number of Pages 10 Pages Quality Level 100% Spacing Double
What are the three characteristics of Big Data, and what are the main considerations in processing Big Data?
Explain the differences between BI and Data Science.
Briefly describe each of the four classifications of Big Data structure types. (i.e. Structured to Unstructured)
List and briefly describe each of the phases in the Data Analytics Lifecycle.
In which phase would the team expect to invest most of the project time? Why? Where would the team expect to spend the least time?
Which R command would create a scatterplot for the dataframe df, assuming df contains values for x and y?
What is a rug plot used for in a density plot?
What is a type I error? What is a type II error? Is one always more serious than the other? Why?
Why do we consider K-means clustering as a unsupervised machine learning algorithm?
Detail the four steps in the K-means clustering algorithm.
List three popular use cases of the Association Rules mining algorithms.
Define Support and Confidence
How do you use a hold-out dataset to evaluate the effectiveness of the rules generated?
List two use cases of linear regression models.
Compare and contrast linear and logistic regression methods.
Criteria 0 – 1 Points 2 – 3 Point 4 – 5 Points Total Professional communication Unprofessional communication; many errors; no APA Minor grammar, spelling, and APA errors Postings are professional and in standard written English with APA Complete addressing of assessment criteria Criteria not fully addressed Minimal response to criteria; minor aspects missing All criteria are fully addressed Evidence of critical thinking or extending information Critical thinking or extending information not evident Obvious responses to questions; little thought evident Posts demonstrate critical thinking with evidence base from research or experience Course connections. No connections provided Minimal connections provided to readings/activities Clear connections to readings/activities Submitted an overview / summary of the case selected for analysis. Also identified those procedural steps to be analyzed. Did not provide an adequate overview or summary of the selected case or failed to identify those steps to be analyzed. Provides an adequate overview or summary of the selected case and steps to be analyzed though may not be clear or complete. Case overview is clearly presented including all appropriate investigative steps to be analyzed. TOTAL /25