Tag Archives: R for Data Science

Applied Data Science Coding | Forecasting in R | Linear and Non-linear model | Air Quality Dataset

Applied Data Science Coding | Forecasting in R | Linear and Non-linear 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. R is a popular programming …

Stock Market Forecasting in R – Neural Networks model using EuStockMarket dataset

The stock market can be a tricky thing to predict. There are many different factors that can influence the performance of a stock, such as economic conditions, company news, and even market sentiment. In recent years, many people have turned to using neural networks in order to try and predict the stock market. One way …

Stock Market Forecasting in R – SARIMA model using EuStockMarket dataset

Stock Market Forecasting in R – Auto ARIMA model using EuStockMarket dataset     Stock market forecasting is the process of using historical data and statistical models to predict future movements of stock prices. One of the methods for stock market forecasting is the SARIMA (Seasonal AutoRegressive Integrated Moving Average) model, which is a type …

Stock Market Forecasting in R – HoltWinters model using EuStockMarket dataset

Stock Market Forecasting in R – HoltWinters model using EuStockMarket dataset   Stock market forecasting is the process of using historical data and statistical models to predict future movements of stock prices. One of the methods for stock market forecasting is the HoltWinters model, which is a type of time series forecasting model that is …

Stock Market Forecasting in R – Logarithmic model using EuStockMarket dataset

Stock Market Forecasting in R – Logarithmic model using EuStockMarket dataset   Stock market forecasting is the process of using historical data and statistical models to predict future movements of stock prices. One of the methods for stock market forecasting is a logarithmic model, which is a type of mathematical model that assumes that the …

Stock Market Forecasting in R – Polynomial Order 2 model using EuStockMarket dataset

Stock Market Forecasting in R – Polynomial Order 2 model using EuStockMarket dataset Stock market forecasting is the process of using historical data and statistical models to predict future movements of stock prices. One of the methods for stock market forecasting is a polynomial model of order 2, which is a type of mathematical model …

Stock Market Forecasting in R – Linear model using EuStockMarket dataset

Stock Market Forecasting in R – Linear model using EuStockMarket dataset   Stock market forecasting is the process of using historical data and statistical models to predict future movements of stock prices. One of the methods for stock market forecasting is a linear model. A linear model is a type of mathematical model that assumes …

How to do Time Series Forecasting in R – Neural Network model using lynx dataset

How to do Time Series Forecasting in R – Neural Network model using lynx dataset     Neural Network (NN) is a method for time series forecasting that is particularly well-suited for data that have complex patterns and non-linear relationships. Neural Networks are a set of algorithms, modeled loosely after the human brain, that are …

Time Series Forecasting in R – Seasonal Random Walk model using lynx dataset

Time Series Forecasting in R – Seasonal Random Walk model using lynx dataset     Seasonal Random Walk (SRW) is a method for time series forecasting that is particularly well-suited for data that exhibit a strong seasonality pattern, such as regular fluctuations that occur at specific time intervals. The SRW model assumes that the future …

Time Series Forecasting in R – Auto ARIMA model using lynx dataset

Time Series Forecasting in R – Auto ARIMA model using lynx dataset   Auto ARIMA is a method for time series forecasting that automatically selects the best parameters for an ARIMA model, which stands for Auto-Regressive Integrated Moving Average. ARIMA models are a commonly used method for time series forecasting and are particularly well-suited for …