# R Forecasting

## Population Forecast of Bangladesh: An experimentation using ARIMA modelling approach

Population Forecast of Bangladesh: An experimentation using ARIMA modelling approach

## Modeling and forecasting population in Bangladesh using ARIMA modelling approach in R

Modeling and forecasting population in Bangladesh using ARIMA modelling approach in R Employing annual time series data on total population in Bangladesh from 1960 to 2019, we model and forecast total population over the next 20 years using the Box – Jenkins ARIMA technique. This article is presented with the following contents. Contents Introduction Method …

## Hypothesis Testing – Interpreting Data with Statistical Models

Hypothesis Testing – Interpreting Data with Statistical Models   Introduction Building predictive models, or carrying out data science research, depends on formulating a hypothesis and drawing conclusions using statistical tests. In this guide, you will learn about how to perform these tests using the statistical programming language, ‘R’. The most widely used inferential statistic techniques …

## Data Science and Machine Learning for Beginners in R – Bagging Ensemble Algorithms using Mushroom Dataset

Ensemble learning is a powerful technique in machine learning that combines the predictions of multiple models to improve the overall performance of a system. One popular ensemble method is called bagging, which stands for Bootstrap Aggregating. Bagging is a technique that generates multiple subsets of the data, and then trains a model on each …

## Time Series Analysis in R using Neural Networks | Data Science with R

The BJ Sales dataset from UCI (University of California, Irvine) is a collection of data that is used to analyze and forecast the number of sales of a certain product over time. Each observation represents a period of time, such as a month or a year, and the feature represents the number of sales …

## Time Series Forecasting in R using ARIMA Model with Sales Dataset | Data Science with R tutorials

The Sales dataset from UCI (University of California, Irvine) is a collection of data that is used to forecast the number of sales of a certain product over time. Each observation represents a period of time, such as a month or a year, and the feature represents the number of sales for that …

## Time Series Analysis in R using Exponential Smoothing using 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 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 …

## Applied Data Science Coding | Forecasting in R | Neural Network model | Air Quality Dataset

Applied Data Science Coding | Forecasting in R | Neural Network model | Air Quality Dataset   Data science is a field that uses various techniques to extract insights and knowledge from data. One important aspect of data science is forecasting, which involves using historical data to predict future events. Forecasting is important in many …

## Applied Data Science Coding | Forecasting in R | SARIMA model | Air Quality Dataset

Applied Data Science Coding | Forecasting in R | SARIMA model | Air Quality Dataset   Data science is a field that uses various techniques to extract insights and knowledge from data. One important aspect of data science is forecasting, which involves using historical data to predict future events. Forecasting is important in many industries …