slip.7


<!DOCTYPE html>
<html>
<head>
<style>
ul {
list-style: none;
margin: 2px;
padding: 3px;
}
ul li {
float: left;
padding: 10px;
background: orange;
text-align: center;
margin-left: 5px;
}
ul li:hover {
background: red;
opacity: 0.8;
color: white;
}
a {
text-decoration: none;
color: black;
}
</style>
</head>
<body>
<h2>List of Books</h2>
<ul>
<li><a href="#">Home</a></li>
<li><a href="#">Java</a></li>
<li><a href="#">HTML</a></li>
<li><a href="#">CSS</a></li>
</ul>
</body>
</html>



2



import pandas as pd
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import OneHotEncoder
from sklearn import preprocessing

data = pd.read_csv('Data.csv')
df = pd.DataFrame(data)
print('\n Displaying Dataset : \n\n', df)

enc = preprocessing.OneHotEncoder()
enc_df = pd.DataFrame(enc.fit_transform(df[['Country']]).toarray())
df1 = df.join(enc_df)
print('\n*** After applying OneHot encoding on Country ***\n\n', df1)

label_encoder = LabelEncoder()
df['Purchased'] = label_encoder.fit_transform(df['Purchased'])
df['Purchased'].unique()
print("\n*** After applying Label encoding on Country ***\n\n", df)


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