rodrigols89

def createRegression(samples,variavel_numbers, n_noise):
  from sklearn.datasets import make_regression
  x, y = make_regression(n_samples=samples, n_features=variavel_numbers, noise=n_noise)
  return x, y

if __name__ =='__main__':

  from sklearn.linear_model import LinearRegression
  from sklearn.model_selection import train_test_split
  from matplotlib import pyplot as plt

rodrigols89

from matplotlib import pyplot as plt
import pandas as pd

df = pd.DataFrame(
  {
    'Experience': [2, 3, 5, 13, 8, 16, 11, 1, 9],
    'Salary': [15, 28, 42, 64, 50, 90, 58, 8, 54]
  }
)

rodrigols89

from matplotlib import pyplot as plt
import pandas as pd

df = pd.DataFrame(
  {
    'Experience': [2, 3, 5, 13, 8, 16, 11, 1, 9],
    'Salary': [15, 28, 42, 64, 50, 90, 58, 8, 54]
  }
)

rodrigols89

from matplotlib import pyplot as plt
import pandas as pd

df = pd.DataFrame(
  {
    'Experience': [2, 3, 5, 13, 8, 16, 11, 1, 9],
    'Salary': [15, 28, 42, 64, 50, 90, 58, 8, 54]
  }
)

rodrigols89

from matplotlib import pyplot as plt
import pandas as pd

df = pd.DataFrame(
  {
    'Experience': [2, 3, 5, 13, 8, 16, 11, 1, 9],
    'Salary': [15, 28, 42, 64, 50, 90, 58, 8, 54]
  }
)

rodrigols89

from matplotlib import pyplot as plt
import pandas as pd

df = pd.DataFrame(
  {
    'Experience': [2, 3, 5, 13, 8, 16, 11, 1, 9],
    'Salary': [15, 28, 42, 64, 50, 90, 58, 8, 54]
  }
)

rodrigols89

import pandas as pd

with open('../datasets/Galton_Dataset.txt', 'r') as f:
  data = pd.read_table(f, sep='\s+')

print(data.head(10))

rodrigols89

from matplotlib import pyplot as plt
import pandas as pd

df = pd.DataFrame(
  {
    'Grade':[50, 50, 46, 95, 50, 5, 57, 42, 26, 72, 78, 60, 40, 17, 85],
    'Salary':[50000, 54000, 50000, 189000, 55000, 40000, 59000, 42000, 47000, 78000, 119000, 95000, 49000, 29000, 130000]
  }
)

rodrigols89

from matplotlib import pyplot as plt
import pandas as pd

df = pd.DataFrame(
  {
    'Grade':[50, 50, 46, 95, 50, 5, 57, 42, 26, 72, 78, 60, 40, 17, 85],
    'Salary':[50000, 54000, 50000, 189000, 55000, 40000, 59000, 42000, 47000, 78000, 119000, 95000, 49000, 29000, 130000]
  }
)

rodrigols89

from matplotlib import pyplot as plt
import pandas as pd

df = pd.DataFrame(
  {
    'Grade':[50, 50, 46, 95, 50, 5, 57, 42, 26, 72, 78, 60, 40, 17, 85],
    'Salary':[50000, 54000, 50000, 189000, 55000, 40000, 59000, 42000, 47000, 78000, 119000, 95000, 49000, 29000, 130000]
  }
)