Tag Archives: R Data Science SVM

Data Science and Machine Learning for Beginners in R – Boosting Ensembles with Grid Search using Mushroom Dataset

  Boosting is another ensemble learning method that is used to improve the performance of machine learning models. Like bagging, boosting combines the predictions of multiple models, but it does so in a different way. Instead of generating multiple subsets of the data and training a model on each subset, boosting trains a model on …

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 …

Data Science and Machine Learning for Beginners in R – Naive Bayes Algorithm using Mushroom Dataset

In this Applied Machine Learning & Data Science Coding Recipe, the reader will find the practical use of applied machine learning and data science in Python and R programming. Data Science and Machine Learning for Beginners in R – Naive Bayes Algorithm using Mushroom Dataset. What should I learn from this Applied Machine Learning & …

Data Science and Machine Learning for Beginners in R – KNN Algorithm using Mushroom Dataset

In this Applied Machine Learning & Data Science Coding Recipe, the reader will find the practical use of applied machine learning and data science in Python and R programming. Data Science and Machine Learning for Beginners in R – KNN Algorithm using Mushroom Dataset. What should I learn from this Applied Machine Learning & Data …

Data Science and Machine Learning for Beginners in R SVM using Mushroom Dataset

Machine learning and data science are powerful tools that can help us make predictions and gain insights from large amounts of data. One way to learn about these techniques is by using them to analyze a dataset. In this article, we will explore how to use support vector machines (SVMs) in R to classify mushrooms …