Category: R

R Packages for Data Science, you’ll learn about the tidyverse library in this lesson, which is a collection of R tools that you can use to manipulate your datasets. You’ll also discover how to...

Shiny Basics, you will learn two standards for constructing a simple Shiny application in this tutorial. You’ll also learn how the program is structured, the components of the user interface, and where to put...

Box Plot Graph in R Language, we will demonstrate how to make a box plot in the R programming language. A box plot summarises the distribution of numerical data that has been sorted. The...

Line Plot in R, this tutorial will show you how to create simple line plots, adjust the axis labels and colors of plots, and create multiple line graphs. Line plots aid in the visualization...

Data Visualization with R, In this tutorial, we will describe how to create a scatter plot in the R programming language. “ggplot2” is a fantastic package for making visually appealing data displays. If you...

Deep Belief Networks (DBN) and Autoencoders, Let’s take a look at DBNs and how they are created on top of RBMs. If you haven’t read the previous posts yet, you can read them by...

Restricted Boltzmann Machine is used to detect patterns in data, in an unsupervised way. If you haven’t read the previous posts yet, you can read them by clicking the below links. Introduction to Machine...

Recurrent Neural Networks, This is a follow-up to one of our previous posts, which you can read here if you missed it. Let’s look into Recurrent Neural Networks and the different types of issues that they...

Convolutional neural networks, Let’s look at a picture classification problem. Assume you have a data set including numerous photographs of planes and cars. And you’d like to create a model that can recognize and...

Introduction to deep learning, This is a follow-up to one of our previous posts, which you can read here if you missed it. Introduction to Deep Learning Deep learning applications are employed in practically...