import numpy as np
import tensorflow as tf
import matplotlib.patches as mpatches
import matplotlib.pyplot as plt
#%matplotlib inline
plt.rcParams['figure.figsize']=(10,6)
X=np.arange(0.0,5.0,0.1)
X
a=1
b=0
Y=a*X+b
plt.plot(X,Y)
plt.ylabel('Dependent Variable')
plt.xlabel("Independent Variable")
plt.show()

b4ae14d7112fc4c3a1ba67a07e47636731867318
<mask token>

<mask token>
X
<mask token>
plt.plot(X, Y)
plt.ylabel('Dependent Variable')
plt.xlabel('Independent Variable')
plt.show()

<mask token>
plt.rcParams['figure.figsize'] = 10, 6
X = np.arange(0.0, 5.0, 0.1)
X
a = 1
b = 0
Y = a * X + b
plt.plot(X, Y)
plt.ylabel('Dependent Variable')
plt.xlabel('Independent Variable')
plt.show()

import numpy as np
import tensorflow as tf
import matplotlib.patches as mpatches
import matplotlib.pyplot as plt
plt.rcParams['figure.figsize'] = 10, 6
X = np.arange(0.0, 5.0, 0.1)
X
a = 1
b = 0
Y = a * X + b
plt.plot(X, Y)
plt.ylabel('Dependent Variable')
plt.xlabel('Independent Variable')
plt.show()

import numpy as np
import tensorflow as tf
import matplotlib.patches as mpatches
import matplotlib.pyplot as plt
#%matplotlib inline
plt.rcParams['figure.figsize']=(10,6)
X=np.arange(0.0,5.0,0.1)
X
a=1
b=0
Y=a*X+b
plt.plot(X,Y)
plt.ylabel('Dependent Variable')
plt.xlabel("Independent Variable")
plt.show()
