mprzybyla123

# import libraries
# sklearn reference: https://scikit-learn.org/0.19/about.html#citing-scikit-learn
# pandas reference: https://pandas.pydata.org/
from sklearn.model_selection import train_test_split, GridSearchCV, cross_val_score, StratifiedKFold
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.pipeline import Pipeline, FeatureUnion
import matplotlib.pyplot as plt

mprzybyla123

# All the python code below for use:
# import library
import pandas as pd

# read in your dataframe
df = pd.read_csv('/Users/data.csv')

# print out your first five rows
df.head()

mprzybyla123

# All the python code below for use:
  
# import library
import pandas as pd

# read in your dataframe
df = pd.read_csv('/Users/example.csv')

# write out new rows
rows = [pd.Series([100, 100, 20,'Blue','Label_1'], index=df.columns),

mprzybyla123

# import libraries
# sklearn reference: https://scikit-learn.org/
# pandas reference: https://pandas.pydata.org/
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.pipeline import Pipeline, FeatureUnion
from sklearn import metrics
import pandas as pd

mprzybyla123

# import libraries
# sklearn reference: https://scikit-learn.org/0.19/about.html#citing-scikit-learn
# pandas reference: https://pandas.pydata.org/
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.pipeline import Pipeline, FeatureUnion
from sklearn import metrics
import pandas as pd

mprzybyla123

#!/usr/bin/env python
# coding: utf-8

# In[ ]:

from example.introduction_class import IntroductionClass
import pandas as pd

class testClass(IntroductionClass):

mprzybyla123

#!/usr/bin/env python
# coding: utf-8

# In[ ]:

class IntroductionClass:

    def __init__(self, data):

        self.data = data