Machine Learning Part-2 by Sherine Greig and Team (15+ years of exp)

Topics covered:Introduction and implementation in pythonImplementation in RIntroduction of Random forestImplementation in python of Random forestImplementation in R of Random forestIntroduction of XGBoost and implementation in pythonImplementation in R of XGBoostTime series analysisAnalytical decision makingTheory of entropy and information gainOverfitting and underfittingStopping rules, cross-validation, and […]