INNER CODE UNIT · Python
main
NishkarshRaj/100DaysofMLCode · 4_Classification/classification_template.py:11
def main():
# Importing the dataset
dataset = pd.read_csv('Social_Network_Ads.csv')
X = dataset.iloc[:, [2, 3]].values
y = dataset.iloc[:, 4].values
# Splitting the dataset into the Training set and Test set
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=0)
# Feature Scaling
sc = StandardScaler()
X_train = sc.fit_transform(X_train)
X_test = sc.transform(X_test)
# Fitting classifier to the Training set
# Create your classifier here
# Predicting the Test set results