




import pandas as pd
from matplotlib import pyplot as plt
from sklearn.linear_model import LinearRegression

# Splitting the dataset into the Training set and Test set
from sklearn.model_selection import train_test_split

# Fitting Polynomial Regression to the dataset
from sklearn.preprocessing import PolynomialFeatures

# Importing the dataset
a_   		=     pd.read_csv(
    "https://s3.us-west-2.amazonaws.com/public.gamelab.fun/dataset/"
    "position_salaries.csv"
)
a_   		=     dataset.iloc[:, 1:2].values
a_   		=     dataset.iloc[:, 2].values


a_		,    a_		,    a_		,    a_   		=     train_test_split(X, y, test_size=0.2, random_state=0)


a_   		=     PolynomialFeatures(degree=4)
a_   		=     poly_reg.fit_transform(X)
a_   		=     LinearRegression()
pol_reg.fit(X_poly, y)




def 					__SCREAMING_SNAKE_CASE   (  )       ->	int:

    """simple docstring"""


    plt.scatter(lowercase_					,     lowercase_					,     color='''red'''      )
    plt.plot(lowercase_					,     pol_reg.predict(poly_reg.fit_transform(lowercase_      )      )					,     color='''blue'''      )
    plt.title('''Truth or Bluff (Linear Regression)'''      )
    plt.xlabel('''Position level'''      )
    plt.ylabel('''Salary'''      )
    plt.show()


if __name__ == "__main__":
 viz_polymonial()

 # Predicting a new result with Polymonial Regression
 pol_reg.predict(poly_reg.fit_transform([[5.5]]))
 # output should be 132148.43750003












def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_ = False      )       ->	str:

    """simple docstring"""


    if not isinstance(lowercase_					,     lowercase_      ):
        __UpperCamelCase  		=						F"Expected string as input, found {type(lowercase_      )}"
        raise ValueError(lowercase_      )
    if not isinstance(lowercase_					,     lowercase_      ):
        __UpperCamelCase  		=						F"Expected boolean as use_pascal parameter, found {type(lowercase_      )}"
        raise ValueError(lowercase_      )

    __UpperCamelCase  		=						input_str.split('''_'''      )

    __UpperCamelCase  		=						0 if use_pascal else 1

    __UpperCamelCase  		=						words[start_index:]

    __UpperCamelCase  		=						[word[0].upper() + word[1:] for word in words_to_capitalize]

    __UpperCamelCase  		=						'''''' if use_pascal else words[0]

    return "".join([initial_word, *capitalized_words]      )


if __name__ == "__main__":
 from doctest import testmod

 testmod()






