ShyrenMore / ML

Sem 07 Machine Learning codes

Machine Learning Practicals

• Simple Linear Regr
• Multiple Linear Regr
• Logistic Regr (Built-in)
• Decision Tree
• Support vector Machine
• Ensemble method - Bagging
• Principle Component Analysis

Pre-proceesing

For words to numbers

from sklearn.preprocessing import LabelEncoder, OrdinalEncoder

le = LabelEncoder()
oe = OrdinalEncoder()

dataset['Gender'] = le.fit_transform(dataset['Gender'])

oe = OrdinalEncoder(categories=[['First Owner','Second Owner', 'Fourth & Above Owner','Third Owner','Test Drive Car']])

For scaling

from sklearn.preprocessing import StandardScaler
scaler = StandardScaler()
X_scaled = scaler.fit_transform(X)