Time Series Analysis in Python using ARIMA Model with BJSales Dataset The BJ Sales dataset from UCI (University of California, Irvine) is a collection of 42 observations and 1 feature that are used to analyze and forecast the number of sales of a certain product in Beijing. Each observation represents a month, and …
Day: April 29, 2020
The BJ Sales dataset from UCI (University of California, Irvine) is a collection of 42 observations and 1 feature that are used to forecast the number of sales of a certain product in Beijing. Each observation represents a month, and the feature represents the number of sales for that month. The goal of this …
Machine Learning with Boston House Price Dataset in R | R Data Science for beginners & data analysts
The Boston House Price dataset from UCI (University of California, Irvine) is a collection of 506 observations and 13 features that are used to predict the median value of owner-occupied homes in Boston. Each observation represents a neighborhood in Boston, and each feature represents a measure of the neighborhood’s characteristics. The dataset includes features …
The Abalone dataset from UCI (University of California, Irvine) is a collection of 4177 observations and 8 features that are used to predict the age of abalone, which is a type of sea snail. Each observation represents an individual abalone, and each feature represents a measure of the abalone’s physical characteristics. The dataset is …
The Glass Type dataset from UCI (University of California, Irvine) is a collection of 214 observations and 9 features that are used to predict the type of glass used in the manufacture of a certain object. Each observation represents a sample of glass, and each feature represents a measure of the glass’s properties. The …