R Data Science – Step-By-Step Coding Recipes

Advanced Machine Learning Techniques for Breast Cancer Prediction using R

Advanced Machine Learning Techniques for Breast Cancer Prediction using R

Data Analytics – TOP R COLOR PALETTES TO KNOW FOR GREAT DATA VISUALIZATION

TOP R COLOR PALETTES TO KNOW FOR GREAT DATA VISUALIZATION   This article presents the top R color palettes for changing the default color of a graph generated using either the ggplot2 package or the R base plot functions. You’ll learn how to use the top 6 predefined color palettes in R, available in different R packages: Viridis color scales [viridis package]. …

Data Science and Machine Learning for Beginners in R – Tensorflow and Keras using Mushroom Dataset

Tensorflow is an open-source software library developed by Google for machine learning. It is a powerful tool that can be used to build and train neural networks. Keras is a high-level library that runs on top of Tensorflow and is used to simplify the process of building and training neural networks. Together, Tensorflow and Keras …

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 – Random Forest with Grid Search using Mushroom Dataset

  Random Forest is a type of ensemble learning algorithm that can be used for both classification and regression tasks. It works by building multiple decision trees and combining their predictions to make a final prediction. One of the advantages of Random Forest is that it can help to reduce overfitting, which is a common …

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 & …