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Predictive Analytics: Nonparametric Regression and Classification Models Assignment Help |  Predictive Analytics: Nonparametric Regression and Classification Models Homework Help 


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Few Topics are:

  • supervised learning
  • MLE
  • nonlinear least squares,
  • bootstrapping
  •  Fisher information
  •  model selection and evaluation
  •  shrinkage/regularization \
  •  ridge regression
  •  LASSO
  •  stepwise regression
  •  ideal Bayes classifier and predictor
  • Neural networks
  • Visualizing black-box predictive models
  • Classification and regression trees
  • Nearest neighbors
  • Local methods and kernel smoothing
  • Generalized additive models
  •  projection pursuit regression
  • Ensemble methods
  •  Bagging
  •  stacking
  •  boosted trees
  •  random forests
  • Support vector machines
  • Naive Bayes
  • Unsupervised learning
  • predictive modeling
  •  PCA
  •  nonlinear dimensionality reduction
  •  kernel density estimation

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