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time-series-analysis-with-python-cookbook's Issues

Can´t clone the repo with lfs

Hello! I just bought the book and I´m having issues cloning the repo. I installed lfs, however it keeps saying that objects don´t exist on the server
clonerror
i

Chapter 3 using SQL: where does dataset come from?

In Chapter 3 of the book for learning how to access Postgres from within Python with SQL language, we frequently use a table called "yen_tbl". I have no clue how to find this one though? It does not seem to be given in the datasets-section of the repo?

Chapter 5, page 127 amzn_df_2020.to_sql() throws an error

Hello,

running the to_sql() function throws an error:

OperationalError: (psycopg2.OperationalError) connection to server at "localhost" (::1), port 5432 failed: Connection refused (0x0000274D/10061)
Is the server running on that host and accepting TCP/IP connections?
connection to server at "localhost" (127.0.0.1), port 5432 failed: Connection refused (0x0000274D/10061)
Is the server running on that host and accepting TCP/IP connections?

(Background on this error at: https://sqlalche.me/e/20/e3q8)

Can I use sklearn instead of sktime?

As chap.12 using machine learning package to predict time series, I see the book use non-linear models with sktime. But I think sklearn is also provide such regression models, although you say sklearn is general ML library.
Why I want to use sklearn is:

 sktime need numpy version: <1.23, but when I using pytorch the numpy need to 1.23 version, so in my project I need to switch version. But I use sklearn in linear model there not have such problems, and I want to extend non-linear models.

And is there any general function to training machine learning models such as train Neural Networks model in chap.13? Including tuning parametters.

Thanks,
Zhe.

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