oreilly_essential_math_for_data_science_book
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Book code for "Essential Math for Data Science"
New to data science and Python in general. Been trying to run the example code in my Kaggle notebook (maybe that's the underlying issue here) and what I'm getting while...
https://github.com/thomasnield/oreilly_essential_math_for_data_science_book/blob/930169272a09108c089545667dcbbfec68ae286e/chapter_1/1_20_deriviatve_subst.py#L12 This example does not use sympy so `subs()` throws an error: ``` ❯ python -V Python 3.12.0 ❯ python 1_20_deriviatve_subst.py 4.0 Traceback (most recent call last): File "/Users/ricker/Code/learning/oreilly_essential_math_for_data_science_book/chapter_1/1_20_deriviatve_subst.py", line...
https://github.com/thomasnield/oreilly_essential_math_for_data_science_book/blob/930169272a09108c089545667dcbbfec68ae286e/chapter_5/5_20_prediction_interval.py#L23 According to the formula given on page 183 (first edition, june 2022) this should be `sqrt(1 + (1 / n) + (n * (x_0 + x_mean) ** 2)` I...