Day: May 10, 2020

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

    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 the Tensorflow …

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

      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 the …

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

      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, we …