Explain Python Machine Learning Models with SHAP Library

Using SHapley Additive exPlainations (SHAP) Library to Explain Python ML Models Almost always after developing an ML model, we find ourselves in a position where we need to explain this…

Read more

Network Visualization with R

Visualizing Networks using different R packages (igraph, visNetwork, ggnet2) The data is taken from DVD Rental database which consists of three columns: customer name, number of rentals each customer rented…

Read more

Drawing Maps with R

Using R to draw and visualize data on maps with different libraries. Github link: ggmap suppressMessages(library(caret)) suppressMessages(library(dplyr)) suppressMessages(library(ggmap)) data("Sacramento") ## stamen map scrmnt <- c(left = min(Sacramento$longitude), bottom =…

Read more