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 …
Day: May 10, 2020
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 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 …