Arun Manglick - Artificial Intelligence & Machine/Deep Learning

Basics: XGBoost stands for eXtreme Gradient Boosting. It's an implementation of gradient boosted decision trees designed for  Speed  ...

1). k-fold cross-validation: In k-fold cross-validation, the original sample is randomly partitioned into k equal sized sub-samples. Of t...

Here we'll try to address few questions using Model Selection techniques. How to find the most appropriate Machine Learning model for...

Basics: In the field of multivariate statistics, Kernel Principal Component Analysis (kernel PCA) is an extension of principal component ...

Basics: From m independent variables of given dataset, LDA extracts p <= m new independent variables that separate most of the classes...

Basics: From m independent variables of given dataset, PCA extracts p <= m new independent variables that explain most of the variance...

Basics: In Classification, we worked with datasets composed of only two independent variables. Two dimensions visualize better how Machi...