#data-visualisation-1

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import seaborn as sns ax = sns.regplot(x='Col1', y='Col2', data=df_tot) We can use more features import matplotlib as mpl import matplotlib.pyplot...

import numpy as np from PIL import Image #converting images into arrays import matplotlib as mpl import matplotlib.pyplot as plt #import package...

import numpy as np import pandas as pd from PIL import Image #converting images into arrays import matplotlib as mpl import matplotlib.pyplot as...

import numpy as np import pandas as pd I am using the inline backend, if you want to modify the graph also after you have done it, don't use this...

IMPORT PACKAGES import pandas as pd import numpy as np ! pip install ipywidgets from IPython.display import display from IPython.html import...

GOAL: PREDICT THE PRICE import pandas as pd import numpy as...