Question

Prepare data Check for missing values In []: Handle missing values Remember to use "inplace=True" In []: # Figure out strategy to replace values where radius is NaN In []: # Replace values where radius is NaN based on above strategy Check for missing values again Drop non-numeric variables Remember to use "inplace=True" In []:

          Prepare data
Check for missing values
In []: 
Handle missing values
Remember to use "inplace=True"
In []: # Figure out strategy to replace values where radius is NaN
In []: # Replace values where radius is NaN based on above strategy
Check for missing values again
Drop non-numeric variables
Remember to use "inplace=True"
In []:

Prepare data
Check for missing values
In []:
Handle missing values
Remember to use "inplace=True"
In []: # Figure out strategy to replace values where radius is NaN
In []: # Replace values where radius is NaN based on above strategy
Check for missing values again
Drop non-numeric variables
Remember to use "inplace=True"
In []:

Added by Nathaniel M.

Computer Science and Information Technology

Trishna Knowledge Systems 2018 Edition

Instant Answer

Solved by Expert Florencia Cuzmar

Step 1

Import the necessary libraries: ``` import pandas as pd import matplotlib.pyplot as plt %matplotlib inline import seaborn as sns from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_test_split from sklearn.metrics import Show more…

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import pandas as pd import matplotlib.pyplot as plt %matplotlib inline import seaborn as sns from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_test_split from sklearn.metrics import classification_report from sklearn.metrics import confusion_matrix # Data file: breast_cancer_diagnosis.csv # Prepare data # Check for missing values df = pd.read_csv("breast_cancer_diagnosis.csv") # Handle missing values df.dropna(inplace=True) # Check for missing values again df.isnull().sum() # Drop non-numeric variables df.drop(["non_numeric_variable1", "non_numeric_variable2"], inplace=True)