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Machine learning (Regression (Multiple linear regression (Asumption linear…
Machine learning
Regression
Simple linear regression
Multiple linear regression
Dummy Variable
Asumption linear regression
Multivirate normality
independence of errors
Homoscedasticity
lack of multicollinearity
Linearity
5 method build model
All-in
Backward elimination
forward selection
Score comparision
Bidirectional elimination
Polomial regression
Support vector regression
Decision tree regression
Random forest regression
Evaluating Regression Models Performance
data preprocessiong
missing dataset
sklearn.preprocessing.Imputer
importing dataset
categorical dataset
sklearn.preprocessing.LabelEncoder
sklearn.preprocessing.OneHotEncoder
Splitting dataset into trainning and test set
sklearn.cross_validation.train_test_set
Feature scaling
standardization
(x - mean)/std
normalization
(x - min)/(max-min)
sklearn,preprocessing.StandardScaler