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Hands-On Data Science with Anaconda
book

Hands-On Data Science with Anaconda

by Yuxing Yan, James Yan
May 2018
Beginner to intermediate
364 pages
7h 43m
English
Packt Publishing
Content preview from Hands-On Data Science with Anaconda

Review questions and exercises

  1. Why do we care about predicting the future?
  2. What does seasonality mean? How could it impact our predictions?
  3. How does one measure the impact of seasonality?
  4. Write an R program to use the moving average of the last five years to predict the next year's expected return. The source of the data is http://fiannce.yahoo.com. You can test a few stocks such as IBM, C, and WMT. In addition, apply the same method to the S&P500 index. What is your conclusion?
  5. Assume that we have the following true model:

Write a Python program to use linear and polynomial models to approximate the previous function and show the related ...

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Publisher Resources

ISBN: 9781788831192