Correlation Matrix in R – How to visualise A correlation matrix is a table that shows the correlation between multiple variables. It is a powerful tool that helps to understand the relationship between different variables in a dataset. In R, there are several ways to create a correlation matrix, and one of them is by …
Correlation Analysis in R – How to analyse and visualise correlated Data Correlation analysis is a statistical method that is used to examine the relationship between two or more variables. In R, there are several ways to perform correlation analysis, and one of them is by using the base R functions and packages such as …
How to compare performance of different trained models in R Comparing the performance of different trained models is an important step in the model selection process. It allows you to evaluate how well each model is able to make predictions and to choose the best model for your problem. In R, there are several ways …
How to utilise XGBoost : xgbTree model in R XGBoost (eXtreme Gradient Boosting) is a powerful and widely-used machine learning algorithm, particularly in the field of gradient boosting. The xgbTree model is a variation of XGBoost that is particularly well suited for non-linear problems. In R, the “xgboost” package can be used to build and …
How to utilise XGBoost : xgbLinear model in R XGBoost (eXtreme Gradient Boosting) is a powerful and widely-used machine learning algorithm, particularly in the field of gradient boosting. The xgbLinear model is a variation of XGBoost that is particularly well suited for linear problems. In R, the “xgboost” package can be used to build and …
How to utilise classification and regression tree model in R Classification and Regression Tree (CART) models are a popular method in the field of machine learning for both classification and regression tasks. In R, the “rpart” package is commonly used to build CART models. The first step in using a CART model is to prepare …
How to utilise CARET SVM Model in R Support Vector Machines (SVM) is a type of supervised machine learning algorithm that is used for classification and regression. The caret package in R is a popular package for building machine learning models, and it also includes an SVM model. Here’s how to use the caret package …
How to tune parameters in R: Manual parameter tuning of Neural Networks Neural Networks are a popular machine learning algorithm that can be used for a wide range of tasks, including image classification, natural language processing, and time series forecasting. However, training a neural network can be a time-consuming task, especially when it comes to …
How to use stacking of Machine Learning Algorithms in R Stacking is a technique that can be used to improve the performance of machine learning algorithms. It is a method of combining the predictions of multiple models to produce a more accurate final prediction. In this blog post, we will discuss how to use stacking …
How to setup a Machine Learning Classification problem in R Setting up a machine learning classification problem in R involves several steps, such as loading the data, preparing the data, selecting and training a model, and evaluating the model’s performance. Loading the data: The first step is to load the data into R, which can …