Index
A
AdaBoosting
Akaike information criteria (AIC)
Anaconda-Navigator
Artificial neural networks (ANN)
B
Bagging models
Bag-of-words (BOW) approach
Batch prediction
Bayesian information criteria (BIC)
Bayesian optimization
Bias-variance tradeoff
Binomial distribution
Boosting algorithms
AdaBoosting
definition
final model
gradient boosting
See alsoGradient boosting
SVM
See alsoSupport avector machine (SVM
training dataset
C
CatBoost
Chi-square automatic interaction detection (CHAID)
Classification algorithm
accuracy assessment criteria
applications
credit risk
business context
business objective
dataset
income prediction on census data
k-nearest neighbor
logistic regression
Naïve Bayes
supervised classified algorithms
target variable and independent variables
tree-based algorithms ...

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