

'''simple docstring'''





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


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


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






def 				_lowerCAmelCase			(   )				->  str:
						plt.scatter(__magic_name__   , __magic_name__   , color='''red'''						)
						plt.plot(__magic_name__   , pol_reg.predict(poly_reg.fit_transform(__magic_name__						)						)   , 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 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						str:



    """simple docstring"""






    if isinstance(SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			):
        raise TypeError("'float' object cannot be interpreted as an integer"			)
    if isinstance(SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			):
        raise TypeError("'str' object cannot be interpreted as an integer"			)

    if num == 0:
        return "0b0"

    UpperCamelCase_			  =						False

    if num < 0:
        UpperCamelCase_			  =						True
        UpperCamelCase_			  =						-num

    UpperCamelCase_			  =						[]
    while num > 0:
        binary.insert(0			,						num % 2			)
        num >>= 1

    if negative:
        return "-0b" + "".join(str(SCREAMING_SNAKE_CASE_			) for e in binary			)

    return "0b" + "".join(str(SCREAMING_SNAKE_CASE_			) for e in binary			)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
