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1
Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python
Apress
David Paper
import
rmse
tuning
y_train
x_train
listing
sets
y_test
random_state
feature
x_test
accuracy
scikit
classification
target
__name__
regression
y_pred
features
algorithms
row
get_scores
complex
function
kneighborsclassifier
matrix
algorithm
pca
train_test_split
output
randomforestregressor
validation
scores
__class__
np.load
shape
numpy
targets
see_time
elapsed
figure
executing
lasso
f1_score
false
predictions
time.perf_counter
wine
digit
sample
Year:
2020
Language:
english
File:
PDF, 2.96 MB
Your tags:
5.0
/
5.0
english, 2020
2
Hands-on Scikit-Learn for machine learning applications: data science fundamentals with Python
Apress
David Paper
rmse
import
y_train
x_train
listing
y_test
random_state
x_test
feature
accuracy
tuning
__name__
target
y_pred
features
algorithms
row
get_scores
function
sets
matrix
algorithm
train_test_split
classification
pca
kneighborsclassifier
output
scores
validation
__class__
regression
randomforestregressor
np.load
numpy
shape
see_time
targets
elapsed
figure
executing
wine
f1_score
false
lasso
predictions
time.perf_counter
digit
__main__
random
resemble
Year:
2020
Language:
english
File:
EPUB, 2.24 MB
Your tags:
0
/
0
english, 2020
3
Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python
Apress
David Paper
import
rmse
tuning
y_train
x_train
listing
sets
y_test
random_state
feature
x_test
accuracy
scikit
classification
target
__name__
regression
y_pred
features
algorithms
row
get_scores
complex
function
kneighborsclassifier
matrix
algorithm
pca
train_test_split
output
randomforestregressor
validation
scores
__class__
np.load
shape
numpy
targets
see_time
elapsed
figure
executing
lasso
f1_score
false
predictions
time.perf_counter
wine
digit
sample
Year:
2020
Language:
english
File:
PDF, 3.17 MB
Your tags:
0
/
0
english, 2020
4
Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python
Apress
David Paper
rmse
import
y_train
x_train
listing
y_test
random_state
x_test
feature
accuracy
tuning
__name__
target
y_pred
features
algorithms
row
get_scores
function
sets
matrix
algorithm
train_test_split
classification
pca
kneighborsclassifier
output
scores
validation
__class__
regression
randomforestregressor
np.load
numpy
shape
see_time
targets
elapsed
figure
executing
wine
f1_score
false
lasso
predictions
time.perf_counter
digit
__main__
random
resemble
Year:
2019
Language:
english
File:
EPUB, 2.24 MB
Your tags:
0
/
0
english, 2019
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