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Computer Engineering
In [6]: def divide_dataset_into_training_and_testing(dataset_x,dataset_y, training_size): # create required variables X_train = None y_train = None X_test = None y_test = None # denote count of training size train_count = None # If training size is in terms of proportion convert it to absolute count if isinstance(training_size,float): # Len()gives total size of dataset total_count = len(dataset_x) train_count = int(training_size * total_count) else: # training_size already passed as absolute number of training examples train_count = training_size # use slicing to perform splitting X_train = dataset_x[:train_count] X_test = dataset_x[train_count:) # similarly on y y_train = dataset_y[:train_count] y_test = dataset_y[train_count:] return X_train,y_train,X_test,y_test

In [6]: def divide_dataset_into_training_and_testing(dataset_x,dataset_y, training_size): # create required variables X_train = None y_train = None X_test = None y_test = None # denote count of training size train_count = None # If training size is in terms of proportion convert it to absolute count if isinstance(training_size,float): # Len()gives total size of dataset total_count = len(dataset_x) train_count = int(training_size * total_count) else: # training_size already passed as absolute number of training examples train_count = training_size # use slicing to perform splitting X_train = dataset_x[:train_count] X_test = dataset_x[train_count:) # similarly on y y_train = dataset_y[:train_count] y_test = dataset_y[train_count:] return X_train,y_train,X_test,y_test

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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I ASKED HER AND I GET CODING FROM HERE FOR MU ASKING 

WHEN I TRY IN JUPETR IT IS NOT RUNNING

+ X Untitled4 X Untitled3 X CSC 605_HV X CSC 605_HVE X CSC 605_HV X Downloads/ C X Answered: b X Answered: V b localhost:8888/notebooks/Untitled4.ipynb?kernel_name=python3 O -> f قائمة القراءة | bartleby SQL for Beginners:. û B مرحبّا, فياض - . ..Black Google hilj> A YouTube Gmail M التطبيقات Cjupyter Untitledi Last Checkpoint: 4 i. (unsaved changes) Logout File Edit View Insert Cell Kernel Widgets Help Trusted Python 3 O + Run Code In [6]: def divide_dataset_into_training_and_testing(dataset_x,dataset_y,training_size): # create required variables X_train = None y_train = None X_test = None y_test = None # denote count of training size train_count = None # If training size is in terms of proportion convert it to absolute count if isinstance(training_size, float): # len()gives total size of dataset total_count = len(dataset_x) train_count = int(training_size * total_count) else: # training_size already passed as absolute number of training examples train_count = training_size # use slicing to perform splitting X_train = dataset_x[:train_count] X_test = dataset_x[train_count:] # similarly on y y_train = dataset_y[:train_count] y_test = dataset_y[train_count:] return X_train,y_train,X_test,y_test 10:48 PM O Type here to search 88°F G ») ENG 9/27/2021
Transcribed Image Text:+ X Untitled4 X Untitled3 X CSC 605_HV X CSC 605_HVE X CSC 605_HV X Downloads/ C X Answered: b X Answered: V b localhost:8888/notebooks/Untitled4.ipynb?kernel_name=python3 O -> f قائمة القراءة | bartleby SQL for Beginners:. û B مرحبّا, فياض - . ..Black Google hilj> A YouTube Gmail M التطبيقات Cjupyter Untitledi Last Checkpoint: 4 i. (unsaved changes) Logout File Edit View Insert Cell Kernel Widgets Help Trusted Python 3 O + Run Code In [6]: def divide_dataset_into_training_and_testing(dataset_x,dataset_y,training_size): # create required variables X_train = None y_train = None X_test = None y_test = None # denote count of training size train_count = None # If training size is in terms of proportion convert it to absolute count if isinstance(training_size, float): # len()gives total size of dataset total_count = len(dataset_x) train_count = int(training_size * total_count) else: # training_size already passed as absolute number of training examples train_count = training_size # use slicing to perform splitting X_train = dataset_x[:train_count] X_test = dataset_x[train_count:] # similarly on y y_train = dataset_y[:train_count] y_test = dataset_y[train_count:] return X_train,y_train,X_test,y_test 10:48 PM O Type here to search 88°F G ») ENG 9/27/2021
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