Pdf of book: http://faculty.marshall.usc.edu/gareth-james/ISL/ISLR%20Seventh%20Printing.pdf
Read through chapters 5 and 6 of the text,”An Introduction to Statistical Learning.”
Complete Exercises as follows:
For Chapter 5, answer all of questions #4 and #9 using Python (in Jupyter notebook if necessary)
For Chapter 6, answer all of questions #2 and #11 using Python (in Jupyter notebook if necessary)
Submit completed answers and proof of how you did it as .docx or .pdf documents
In 400-600 words, reflect on experience and applications
What did you learn from the chapter and the exercises (convince us you read the chapter/did the exercises)?
What was the most impactful or fascinating takeaway from the chapter?
What elements of the chapter were difficult to understand?
How might you use the statistical insights from the chapter to make decisions in an organization?
How would you take questions 9 (from chapter 5) and 11 (from chapter 6) and apply them to an organizational opportunity in your own context?
Please do not request to do this assignment if you know you can’t complete the whole thing and follow these exact instruction, I will pick someone with the original price so if you more than that will not pick you!