2020-05-27 ANN in R Artificial neural networks or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains. ann machine learning r deep learning

2020-05-25 Prophet: Example in R Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality. facebook prophet r

2020-05-25 Prophet - JMA - Electricity France Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality. facebook prophet r

2020-04-05 GARCH Model in R GARCH is a statistical model that can be used to analyze a number of different types of financial data, for instance, macroeconomic data. garch r

2020-04-04 LDA in R Linear discriminant analysis (LDA), normal discriminant analysis (NDA), or discriminant function analysis is a method used to find a linear combination of features that characterizes or separates two or more classes of objects or events. nda r lda

2020-04-04 Reinforcement Learning in R Reinforcement learning (RL) is an area of machine learning concerned with how software agents ought to take actions in an environment in order to maximize the notion of cumulative reward. reinforcement learning r

2020-04-04 Simple XGBoost Example in R Gradient boosting is a machine learning technique for regression and classification problems, which produces a prediction model in the form of an ensemble of weak prediction models, typically decision trees. r xgboost