Update r_time_series_example.R

f27b50e7 · Rebecca Merrett · 10cd74d4 · f27b50e7
Commit f27b50e7 authored May 07, 2019 by Rebecca Merrett
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r_time_series_example.R Time Series/r_time_series_example.R +33 -33

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--- a/Time Series/r_time_series_example.R
+++ b/Time Series/r_time_series_example.R
@@ -145,36 +145,36 @@ mean_absolute_error
 # is stationary
 adf.test(hourly_sentiment_series_diff2)
-"-Need to better transform these data:
+#-Need to better transform these data:
- You could look at stabilizing the variance by applying 
+# You could look at stabilizing the variance by applying 
- the cube root for neg and pos values and then 
+# the cube root for neg and pos values and then 
- difference the data 
+# difference the data 
-You might compare models with different AR and MA terms
+#-You might compare models with different AR and MA terms
-This is a very small sample size of 24 timestamps, 
+#-This is a very small sample size of 24 timestamps, 
- so might not have enough to spare for a holdout set 
+# so might not have enough to spare for a holdout set 
- To get more use out of your data for training, rolling over time 
+# To get more use out of your data for training, rolling over time 
- series or timestamps at a time for different holdout sets
+# series or timestamps at a time for different holdout sets
- allows for training on more timestamps; doesn't stop the model from 
+# allows for training on more timestamps; doesn't stop the model from 
- capturing the last chunk of timestamps stored in a single holdout set
+# capturing the last chunk of timestamps stored in a single holdout set
-The data only looks at 24 hours in one day
+#-The data only looks at 24 hours in one day
- Would we start to capture more of a trend in hourly sentiment if we 
+# Would we start to capture more of a trend in hourly sentiment if we 
- collected data over several days?
+# collected data over several days?
- How would you go about collecting more data?
+# How would you go about collecting more data?
- Take on the challenge and further improve this model:
+# Take on the challenge and further improve this model:
- You have been given a head start, now take this example
+# You have been given a head start, now take this example
- and improve on it!
+# and improve on it!
- To study time series further:
+# To study time series further:
-Look at model diagnostics
+#-Look at model diagnostics
-Use AIC to search best model parameters 
+#-Use AIC to search best model parameters 
-Handle any datetime data issues
+#-Handle any datetime data issues
-Try other modeling techniques
+#-Try other modeling techniques
- Learn more during a short, intense bootcamp:
+# Learn more during a short, intense bootcamp:
- Time Series to be introduced in Data Science Dojo's 
+# Time Series to be introduced in Data Science Dojo's 
- post bootcamp material
+# post bootcamp material
- Data Science Dojo's bootcamp also covers some other key 
+# Data Science Dojo's bootcamp also covers some other key 
- machine learning algorithms and techniques and takes you through 
+# machine learning algorithms and techniques and takes you through 
- the critical thinking process behind many data science tasks
+# the critical thinking process behind many data science tasks
- Check out the curriculum: https://datasciencedojo.com/bootcamp/curriculum/"
+# Check out the curriculum: https://datasciencedojo.com/bootcamp/curriculum/"