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머신러닝 인터뷰 실무 가이드
book

머신러닝 인터뷰 실무 가이드

by 수잔 수 창, 박상현
September 2024
Beginner to intermediate
364 pages
8h 27m
Korean
Hanbit Media, Inc.
Content preview from 머신러닝 인터뷰 실무 가이드
233
CHAPTER 05
기술 인터뷰: 코딩
#
python
import numpy as np
#
add churn indicators
merged
_
df
['
churn
_
status
']
=
np
.
where
(
pd
.
to
_
datetime
('
2023
-
07
-
25
')
-
merged
_
df
['
login
_
time
']
>=
pd
.
Timedelta
(
days
=
30
),
1
,
0
)
#
merged
_
df
|
user
_
id
|
timestamp
|
login
_
time
|
time
_
between
|
churn
_
signup
_
and
_
status
_
latest
_
login
|
31876
|
2023
-
05
-
14 09
:
18
:
15
|
2023
-
06
-
20 09
:
03
:
30
|
36 days 23
:
45
:
15
|
1
|
59284
|
2023
-
05
-
13 15
:
12
:
45
|
2023
-
07
-
23 15
:
28
:
50
|
71 days 00
:
16
:
05
|
0
|
86729
|
2023
-
06
-
18 09
:
03
:
30
|
2023
-
06
-
21 10
:
10
:
25
|
3 days 01
:
06
:
55
|
1
이제 해당 데이터를 피처 테이블과 결합할 수 있습니다.
#
python
user
_
info
_
df
["
user
_
id
"]
=
pd
.
to
_
numeric
(
user
_
info
_
df
["
user
_
id
"])
features
_
df
=
user
_
info
_
df
.
merge
(
merged
_
df ...
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Publisher Resources

ISBN: 9791169212397