What are the advantages and disadvantages of ensemble models?

Week 4 Discussion

There are various languages, some are better for data visualization than others.  Please review the basics of Python, SAS, R, and SQL.  What are the qualities of each language regarding data visualization (select at least two to compare and contrast)?  What are the pros and cons of each regarding data visualization (select at least two to compare and contrast)?
Reply post:
When replying to peers, note your opinion on their thoughts.  Add your thoughts and continue the conversation regarding the languages (Python, SAS, R, and SQL) and other visualization tools as well.
Minimum of 300 words, checked with Grammarly, use and cite a reference, respond to two peers with at least 100-word responses.

Please select a topic from the below list and create a one-page  answering the question noted below.  Please use at least one reference and ensure it’s in APA format (as well as the in-text citation).  Also, ensure to NOT COPY DIRECTLY from any source (student or online source), rather rephrase the author’s work and use in-text citations were necessary.

• Name the basic constructs of an ensemble model. What are the advantages and disadvantages of ensemble models?
• List and briefly describe the nine-step process in conducting a neural network project.
• What is the main difference between classification and clustering? Explain using concrete examples.
• What are the privacy issues with data mining? Do you think they are substantiated?