# Month: April 2020

## Time Series Analysis in R using Logarithmic Model with BJ Sales Dataset | Data Science with R

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 …

## Time Series Analysis using Poly Models in R using BJ Sales Dataset | Data Science tutorials in R

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 …

## Time Series Analysis in R using Linear Model with BJ Sales Dataset | Data Science tutorials with R

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 …

## Time Series Forecasting in Python using Deep Learning CNN model with BJ Sales dataset | Data Science

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 …

## Time Series Forecasting in Python using Deep Learning LSTM Model | Data Science tutorials

Time Series Forecasting in Python using Deep Learning LSTM Model     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 …

## Time Series Forecasting in Python using SARIMAX Model with BJ Sales Dataset | Data Science tutorials

Time Series Forecasting in Python using SARIMAX Model with BJ Sales Dataset       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 …

## Time Series Analysis in Python using ARIMA Model with BJSales Dataset | Data Science tutorials

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 …

## Time Series Forecasting using ARMA model in Python with BJ Sales Dataset | Data Science tutorials

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 …

## Machine Learning with Abalone Dataset in R | Practical Data Science tutorials with R for Beginners and Citizen Data Scientists

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 …