# data[].attributes.headline
How do you put a model into practice once you're happy with how the model has been trained? (practical application)

# data[].attributes.subject
How do you put a model into practice once you're happy with how the model has been trained? (practical application)

# data[].attributes.body
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.

# data[].attributes.body
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?

# data[].attributes.body
Meaning of Boxcox_transform

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

# data[].attributes.subject
How can I be certain that I need to normalize data and which type of normalization to use?

# data[].attributes.headline
how to i know when to use a lambda or other functions?

# data[].attributes.subject
how to i know when to use a lambda or other functions?

# data[].attributes.headline
When you can write a function in one line... it's better to use a lambda function:

# data[].attributes.subject
When you can write a function in one line... it's better to use a lambda function:

# data[].attributes.body
Which one looks nicer?

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

lambda x, y: x + y

# data[].attributes.body
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.

# data[].attributes.headline
How to understand error messages better?

# data[].attributes.subject
How to understand error messages better?

# data[].attributes.body
Understanding error messages is about practise ;) and googleing

# data[].attributes.body
how to create new columns automatically from different dates?

# data[].attributes.headline
How can I get better at understanding/making useful functions?

# data[].attributes.subject
How can I get better at understanding/making useful functions?

# data[].attributes.body
I would say by reading the examples from exercises and forming them into sentences, I usually do understand the function better then

# data[].attributes.body
i = 1
while i < 6:
print(i)
i += 1

# data[].attributes.headline
how to write functions to seperate data into discrete and continuous ?

# data[].attributes.subject
how to write functions to seperate data into discrete and continuous ?