muhammadanas0716

from captcha.image import ImageCaptcha

# Set the image size
image = ImageCaptcha(width = 400, height = 200)

# Specify text for the Captcha
captcha_text = "Captcha_PYTHON"

# Generate the image with the given text
data = image.generate(captcha_text)

muhammadanas0716

import pandas as pd
df = pd.read_csv('http://bit.ly/kaggletrain')

X = df[['Pclass', 'Sex']]
y = df['Survived']

from sklearn.preprocessing import OneHotEncoder
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.linear_model import LogisticRegression
from sklearn.compose import make_column_transformer

muhammadanas0716

import pandas as pd
df = pd.read_csv('http://bit.ly/kaggletrain', nrows=6)

cols = ['Fare', 'Embarked', 'Sex', 'Age']
X = df[cols]

from sklearn.preprocessing import OneHotEncoder
from sklearn.impute import SimpleImputer
from sklearn.compose import make_column_transformer

muhammadanas0716

import pandas as pd
import numpy as np

from sklearn.impute import SimpleImputer
from sklearn.linear_model import LogisticRegression
from sklearn.pipeline import make_pipeline

train = pd.DataFrame({'feature1' : [10, 20, np.nan, 2], 'feature2':  [25., 20, 5, 3], 'label':['A', 'A', 'B', 'B']})
test = pd.DataFrame({'feature1' : [30., 5, 15], 'feature2' :[ 12, 10, np.nan]})

muhammadanas0716

# Import needed libraries
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns

# Import dataset 
midwest = pd.read_csv("https://raw.githubusercontent.com/selva86/datasets/master/midwest_filter.csv")

muhammadanas0716

import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns

# Specific imports
from matplotlib import patches
from scipy.spatial import ConvexHull
sns.set_style("white")

muhammadanas0716

# Import Libararies
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns

# Import Data
df = pd.read_csv("https://raw.githubusercontent.com/selva86/datasets/master/mpg_ggplot2.csv")

muhammadanas0716

# Imports
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns

# Import Data
df = pd.read_csv("https://raw.githubusercontent.com/selva86/datasets/master/mpg_ggplot2.csv")
df_counts = df.groupby(['hwy', 'cty']).size().reset_index(name='counts')

muhammadanas0716

# Import Libararies
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns

# Import Data
df = pd.read_csv("https://raw.githubusercontent.com/selva86/datasets/master/mpg_ggplot2.csv")

muhammadanas0716

# Import
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# Import Data
df = pd.read_csv("https://raw.githubusercontent.com/selva86/datasets/master/mpg_ggplot2.csv")

# Create Fig and gridspec