Chapter 13 summary added, html updated #46
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martinacantaro
requested changes
Mar 11, 2021
13_time_series/13_time_series.jl
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| ### Summary | ||
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| In this chapter we have learned the basic foundations of time series analysis. | ||
| We have defined what a time series is and delve into a particular method: The exponential smoothing. |
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attention to detail: "delve" should be in the past tense.
13_time_series/13_time_series.jl
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| ### Bibliography | ||
| ### Summary | ||
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| In this chapter we have learned the basic foundations of time series analysis. |
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Remember the comma after the introductory clause (I've marked this issue in several PRs):
In this chapter,
For more information check out https://owl.purdue.edu/owl/general_writing/punctuation/commas/commas_after_introductions.html
13_time_series/13_time_series.jl
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| In this chapter we have learned the basic foundations of time series analysis. | ||
| We have defined what a time series is and delve into a particular method: The exponential smoothing. | ||
| After building up an intuition of how the simple exponential smoothing works, we continued to introduce more complex versions of the method as the various problems we set ourselves required it. | ||
| The simple, trended and seasonality methods were presented and coded, generating in that way a much greater understanding of how they work. |
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The last two sentences don't seem to include a lot of information, remember to refresh concepts instead of just narrate what happened
martinacantaro
requested changes
Mar 18, 2021
13_time_series/13_time_series.jl
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| ### Bibliography | ||
| ### Summary | ||
|
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| In this chapter, we have learned the basic foundations of time series analysis. |
13_time_series/13_time_series.jl
Outdated
| ### Summary | ||
|
|
||
| In this chapter, we have learned the basic foundations of time series analysis. | ||
| We have defined what a time series is and delved into a particular method, the exponential smoothing, that allows us to take into account the most distant values of our data. |
13_time_series/13_time_series.jl
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| We have defined what a time series is and delved into a particular method, the exponential smoothing, that allows us to take into account the most distant values of our data. | ||
| Finally, we explained more complex versions of the method and used them to make predictions in different kinds of scenarios. | ||
| When the processes followed a marked tendency, we used the trend method and the damped trend method to make long term predictions. | ||
| When the process was highly correlated with the seasonality of the year, like the quantity of air passengers in Australia, we utilized the Holt-Winters’ seasonal method. |
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, like the quantity of air passengers in Australia,
delete this part since it's too specific
When the process exhibited seasonal trends, we utilized the Holt-Winters’ seasonal method.
…eedback-to-do-messages Chapter 13: Added feedback and to do messages
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