The “Forecasting: Principles and Practice (2nd ed)” book is teaching me time-series analysis, something I am new to. There are a few GitHub repos with the book’s solutions, but they seem to be rather old. I wanted to know if there were any R and Python solution repos that the community would recommend.
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That book is free online: Forecasting: Principles and Practice (3rd ed)
Solutions, code, examples and videos are all there.
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Yes, I know. I’m following the 2nd edition though because it follows traditional R packages. The 3rd edition uses some new packages. Anyway, all I need is to learn the concepts.
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The tidyverse ecosystem is more smoothly integrated with the third edition. That’s triumphant.
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What is the benefit of the tidyverse ecosystem?
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Is a great collection of packages for each stage in the data science workflow.
Try the first chapters of the R for data science book: https://r4ds.hadley.nz/
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I’m taking a course on Quality Control and Process Improvement. Does anyone have any recommendations on any creators to watch on YouTube or sites to check out for stuff like CUSUM, Shewhart, etc for better a understanding?