data-science-from-scratch
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code for Data Science From Scratch book
I'm about to use the book in a course. I will likely copy the book code to a set of jupyter notebooks. Unless someone has already done that.
do you have code for unbalanced data decision tree classification ?
One typo on p-167 iris.dat ->iris.data
Below are the snippets of codes from the book . I got underlined errors while running them on Jyupyter notebooks ,Python 3 . Please resolve type SomeFIle.txt | python egrep.py...
`"this is the not the..."` → `"this is not the..."`
Just adding the link to the deep learning chapter in readme
The tags have changed and the page currently lists 137 companies. I found the following worked: companies = list({a.text for a in soup("a") if "company-name" in a.get("class", ())}) assert len(companies)...
Hi, Nice to have the book's _**errata**_ added to this repository. Cheers, Laurence.
Hello, The following code is not present at the end of the FINDING KEY CONNECTORS section of https://github.com/joelgrus/data-science-from-scratch/blob/master/code/introduction.py: ``` num_friends_by_id = [(user["id"], number_of_friends(user)) for user in users] sorted(num_friends_by_id, key= lambda...