Tag Archives: Data science with R

Machine Learning in R | Classification | Data Science for Beginners | IRIS | LDA | CARET tutorials

Hits: 237     Machine learning is a method of teaching computers to learn from data without being explicitly programmed. One of the most commonly used algorithms for classification tasks is the Linear Discriminant Analysis (LDA) algorithm. In this article, we will be discussing how to use LDA for classification in R using the IRIS …

Deep Learning in R with Dropout Layer | Data Science for Beginners | Regression | Tensorflow | Keras

Hits: 266   Deep learning is a powerful machine learning technique that allows for the creation of complex models to solve difficult problems. In this article, we will be discussing how to use dropout layers in R to improve the performance of a deep learning model for regression tasks. Dropout is a regularization technique that …

Deep Learning in R | Data Science for Beginners | Tensorflow | Keras | House Price Data | Regression

Hits: 188     Deep learning is a subset of machine learning that involves training artificial neural networks to perform tasks such as image or speech recognition, natural language processing, and predictive modeling. In this article, we will discuss how to use deep learning in R to perform regression on a housing price dataset using …

Machine Learning in R | Data Science for Beginners | Neural Networks | House Dataset | Regression

Hits: 126      Machine learning is a method of teaching computers to learn from data, without being explicitly programmed. In R, there are many libraries available for machine learning, such as caret, randomForest, and nnet. One of the most popular datasets for machine learning is the Boston house price dataset, which is available in …

Machine Learning in R | Data Science for Beginners | Random Forest | Boston House Data | Regression

Hits: 115      Machine learning is a technique that allows computers to learn from data and make predictions or decisions without being explicitly programmed. In this article, we will discuss how to use the Random Forest algorithm for regression tasks in R with the Boston House Data from the UCI Machine Learning Repository. First, …

Machine Learning in R | Data Science for Beginners | XGBoost | Regression | Boston Dataset | CARET

Hits: 172      Machine learning is a powerful tool that allows us to make predictions and analyze data using a variety of algorithms. In this article, we will focus on using the XGBoost algorithm for regression tasks in R. We will be using the Boston Housing Price dataset from the UCI repository, and the …