Sonar, short for Sound Navigation and Ranging, is a technology used to detect and locate objects underwater. It is commonly used in navigation, search and rescue operations, and military applications. In recent years, machine learning techniques have been used to predict the sonar signals and improve the accuracy of detection. In this article, we …
Day: April 28, 2020
The Ionosphere is a layer of the Earth’s upper atmosphere that is located between 50 and 600 kilometers above the Earth’s surface. It is made up of a mixture of gases and charged particles that can affect radio wave transmission. In recent years, machine learning techniques have been used to predict the ionosphere and …
Diabetes is a chronic disease that affects millions of people worldwide. Early detection and diagnosis of diabetes are crucial for effective treatment and management of the disease. In recent years, machine learning techniques have been used to predict diabetes and improve the accuracy of diagnosis. In this article, we will go over the steps …
Breast cancer is a serious and life-threatening disease that affects millions of women worldwide. Early detection and diagnosis are crucial for effective treatment and survival rates. In recent years, machine learning techniques have been used to predict breast cancer and improve the accuracy of diagnosis. In this article, we will go over the steps …
A scatter matrix plot, also known as a pair-plot, is a graphical representation of data that is used to visualize the relationship between multiple variables. In R, creating a scatter matrix plot is a simple process that can be done using the pairs() function. In this article, we will go over the steps needed …
Bar plots in R are a simple way to visualize data and compare the values of different groups or categories. In this article, we will go over the steps needed to create a bar plot in R. The first step is to load the dataset into R. This can be done using the read.csv() …
Summarizing correlation coefficients in R is a simple process that can be done using the cor() function and the cor.test() function. In this essay, we will go over the steps needed to summarize correlation coefficients in R. The first step is to load the dataset into R. This can be done using the read.csv() …
Getting summary statistics in R is a simple process that can be done using the summary() function. In this essay, we will go over the steps needed to get summary statistics in R. The first step is to load the dataset into R. This can be done using the read.csv() function, which allows you …
Showing the first and last rows of a dataset in R is a simple process that can be done using the head() and tail() functions. In this essay, we will go over the steps needed to show the first and last rows of a dataset in R. The first step is to load the …
Pair wise correlations using Pearson and Spearman coefficients in R are used to measure the strength and direction of the linear relationship between two variables. In this essay, we will go over the steps needed to calculate pair wise correlations using Pearson and Spearman coefficients in R. The first step is to load the …