Pandas Session 8 Code

 Pandas Session 8 Code For Video Click Fahad Hussain CS

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Code:

import numpy as np

import pandas as pd

from google.colab import files

uploaded = files.upload()

for fn in uploaded.keys():

  print('User uploaded file "{name}" with length {length} bytes'.format(

      name=fn, length=len(uploaded[fn])))

data = pd.read_csv('DataSet.csv')

data.head()

X = data.iloc[:,:-1].values

y = data.iloc[:,3].values

X

y

from sklearn.impute import SimpleImputer

imputer = SimpleImputer(missing_values = np.nan, strategy = 'mean')

imputer = imputer.fit(X[:,1:3])

X[:,1:3] = imputer.transform(X[:,1:3])

X

from sklearn.preprocessing import LabelEncoder, OneHotEncoder

from sklearn.compose import ColumnTransformer

ct = ColumnTransformer([("Developer",OneHotEncoder(),[0])], remainder = 'passthrough')

ct = ct.fit_transform(X)

labelencoder = LabelEncoder()

X[:,0] = labelencoder.fit_transform(X[:,0])

X

from sklearn.model_selection import train_test_split

X_train, X_test, y_train, y_test = train_test_split(X,y,test_size = 0.2, random_state = 0)

X_train

X_test

y_train

y_test

from sklearn.preprocessing import StandardScaler

sc = StandardScaler()

X_test = sc.fit_transform(X_test)

X_train = sc.fit_transform(X_train)

X_test

X_train