Python ??????? by Xisca Sorell

how to write functions to seperate data into discrete and continuous ?

pegasusmaximillion2 — 2022-03-26 09:30:50 UTC

how to i know when to use a lambda or other functions?

mariabastardo1 — 2022-03-26 09:31:17 UTC

I need to get more into "functions"

2022-03-26 09:31:25 UTC

Boxcox

2022-03-26 09:31:33 UTC

Meaning of Boxcox_transform

is removing outliers always necessary?

2022-03-26 09:32:03 UTC

How can I get better at understanding/making useful functions?

2022-03-26 09:32:34 UTC

I would say by reading the examples from exercises and forming them into sentences, I usually do understand the function better then

while loops

mariabastardo1 — 2022-03-26 09:33:13 UTC

2022-03-26 09:33:29 UTC

how to create new columns automatically from different dates?

How to understand error messages better?

2022-03-26 09:33:41 UTC

Box-Cox

xiskasorrell — 2022-03-26 09:34:38 UTC

It is a power transformation used to stabilize variance, make the data more normal distribution-like, improve the validity of measures of association and for other data stabilization procedures.

xiskasorrell — 2022-03-26 09:36:04 UTC

Understanding error messages is about practise ;) and googleing

When you can write a function in one line... it's better to use a lambda function:

2022-03-26 09:36:58 UTC

Which one looks nicer?

def sum(x, y):
sum = x + y
return sum
or

lambda x, y: x + y

xiskasorrell — 2022-03-26 09:37:15 UTC

i = 1
while i < 6:
print(i)
i += 1

How can I be certain that I need to normalize data and which type of normalization to use?

2022-03-26 09:38:16 UTC

removing skewness

2022-03-26 09:38:38 UTC

can we use more than one method on the same data to make it look more like a normal distribution? for ex: interpolation + box cox or is more about picking the right one?

Testing the functions

2022-03-26 09:41:08 UTC

This ties in with understanding error messages too but printing A LOT is very useful. I usually print at every line in a function to make sure it works.

differences between mysql and python

2022-03-26 09:47:34 UTC

How do you put a model into practice once you're happy with how the model has been trained? (practical application)

2022-03-26 09:58:42 UTC