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Machine Learning Algorithms
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List of algorithms
REGRESSION
Linear Regression
Ordinary Least Squares
Logistic Regression
Stepwise Regression
Multivariate Adaptive Regression Splines
Locally Estimated Scatterplot Smoothing
INSTANCE BASED METHODS
kNearest Neighbour (kNN)
Learning Vector Quantization (LVQ)
SelfOrganizing Map (SOM)
PREPROCESSING DATA
standardization  mean removal  variance scaling
normalization
binarization
encoding categorical variables
label preprocessing
imputation of missing values
unsupervised data reduction
pca
random projections
Feature agglometration
DECISION TREE LEARNING
Decision tree
Random Forest
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BAYESIAN
Naive Bayes
Averaged OneDependence Estimators
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COLLABORATIVE FILTERING
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matrix factorization with ALS
CLUSTERING
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DIMENSIONALITY REDUCTION
pca
Singular Value Decomposition svd
Lanczos Algorithm
KERNEL METHODS
Support Vector Machines (SVM)
Radial Basis Function (RBF)
Linear Discriminant Analysis (LDA)
ENSEMBLE METHODS
Bagging
Boosting
Bootstrapped Aggregation
AdaBoost
Stacked Generalization
Gradient Boosting Machines (GBM)
Random Forest
Mixture of Experts
ASSOCIATION LEARNING
apriori
eclat
fp growth
NATURAL LANGUAGE PROCESSING
lda
OTHER CONCEPTS
anova
max entropy
pattern
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