Data Science SAS

Course Content

Total learning: 18 lessons

(Advanced Analytics 3) Machine Learning Algorithms

  •  Prediction
  •  Support Vector Machines (SVM)
  •  Binary Regression/Logit Model
  •  Probit Model
  •  Na¨ıve Bayes
  •  Na¨ıve Bayes Multinomial
  •  Ordinal Regression
  •  Multinomial Regression
  •  k-Nearest Neighbor Classification
  •  Decision Stump
  •  CHAID Analysis
  • Recommender Systems,
  • Collaborative Filtering
  • Advanced recommender system.
  • Bootstrap Aggregating (Bagging),
  • Random forest,
  • Adaptive boosting,
  • gradient boosting
  • Support vector machine
  • Neural Network
  •  C4.5 / C5.0
  •  J48 Pruning, Uprunning
  •  Decision trees
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