Review questions and exercises

  1. What does unsupervised learning mean?
  2. What is the major difference between unsupervised learning and supervised learning?
  3. How do we install the Python package sklearn?
  4. Discuss the relationship between distance and clustering classification.
  5. What does Bayes classification mean?
  6. Find out the related functions for Bayes classification in R, Python, Octave, and Julia.

  1. How many R packages are installed after you run the following three lines of R code?
>install.packages("ctv")>library("ctv")>install.views("MachineLearning")
  1. Download the IBM monthly data from Yahoo!Finance, https://finance.yahoo.com . Then run a Fama-French-Carhart four factor model by using Python. The 4-factor model is given here:

The ...

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