Introduction Categorical variables are extensively utilized in data analysis and machine learning. Many algorithms are incapable of directly processing these variables, and they must be encoded or translated into numerical data before they can be used. Hot encoding and label encoding are two popular methods for encoding categorical data. One hot encoding provides a binary vector for each category in a categorical variable, indicating whether that category exists or not. We will discuss the ideas of one hot encoding and label encoding, as well as their advantages and disadvantages, and present examples of when and how to ... Read More

Introduction Ordinary least squares is a well−liked and often used method for linear regression analysis (OLS). For data analysis and prediction, however, it is not always the best option. OLS has several limitations and presumptions that, if not properly addressed, might provide biased and false results. The drawbacks and restrictions of OLS will be covered in this article, along with some reasons why it might not be the ideal choice for all datasets and applications. We will also look at additional regression analysis approaches and methodologies that can get around OLS's drawbacks and deliver more accurate and trustworthy findings. ... Read More

In the realm of data analysis, understanding the relationships between variables is crucial. However, in some cases, these relationships can become too intertwined, leading to a phenomenon known as multicollinearity. Multicollinearity can pose challenges when interpreting the effects of individual variables in a statistical model. In this article, we will explore the concept of multicollinearity, its principal types, causes, and provide an example to illustrate its impact. In this article, we will explore the concept of multicollinearity in detail. We will delve into its principal types, examine the causes that give rise to multicollinearity in datasets, and provide ... Read More

Introduction to Trapezoidal Numerical Integration Trapezoidal numerical integration is a method used for finding the approximate value of a definite integral. It is also called as the trapezoidal rule. In the case of trapezoidal numerical integration method, we use trapezoids to calculate the area under a curve. In the trapezoidal rule, the total interval over which we want to integrate is divided into smaller subintervals. The area under the curve is then approximated in each subintervals by using trapezoids. After that the total area under the curve is estimated through the sum of the areas of sub-trapezoids. This ... Read More

Consider a text file containing a sentence “I Study MATLAB from Tutorials Point.” Now, we want to read these words of the text file in the reverse order, the result will be “Point Tutorials from MATLAB Study I.”. In this article, we will explore the implementation of MATLAB program to read words in a text file in reverse order. Algorithm: Read Words in a File in Reverse Order In MATLAB, we have to follow the following steps to read the words in a file in reverse order: Step 1 - Open the file for reading by calling the function ... Read More

Introduction to Intensity Transformation in MATLAB In MATLAB, the intensity transformation operation on images is one of the most fundamental image processing technique. It is an image processing operation in which the results depend on the intensity of an image. In MATLAB, the intensity transformation operations on images are performed to correct, enhance, or manipulate the intensity of image pixels. We have various built-in MATLAB functions to perform intensity transformation operations on images. In this article, we will discuss some commonly used intensity transformation operations and will see how they can be implemented using MATLAB programming. Intensity ... Read More

To apply custom axis tick values, MATLAB has two built-in functions “xticks()” and “yticks()”. Here, the “xticks()” function is used for customizing the tick values of X-axis in a MATLAB plot, while the “yticks()” function is used for setting custom tick values to Y-axis. Syntax xticks([custom_tick_values]); yticks([custom_tick_values]); The following MATLAB program demonstrate the use of “xticks()” and “yticks()” functions to create custom tick values for X-axis and Y-axis. Example % MATLAB program to specify custom axis tick values % Create a sample vector of data x = linspace(1, 5, 5); y = x.^2; % Plot the x ... Read More

MATLAB provides various built-in functions, such as xlim(), ylim(), and axis() that help us to adjust axis limits as per our requirements. In this tutorial, we will learn about adjusting axis limits of a plot in MATLAB. Functions to Set Axis Limits In MATLAB, there are three main functions widely used for adjusting axis limits of a plot. These functions are as follows: “xlim()” Function - The “xlim()” function is used to adjust X-axis limit of a plot in MATLAB. “ylim()” Function - The “ylim()” ... Read More

MATLAB has three built-in functions "semilogx", "semilogy", and "loglog" to covert the linear axis scales to logarithmic scales in a plot. Here, the “semilogx()” function is used to change the X-axis scale to a logarithmic scale. The “semilogy()” function is used to change the Y-axis scale to a logarithmic scale. The “loglog()” functions changes both X-axis and Y-axis scales to logarithmic scales. Syntax semilogx(x, y); semilogy(x, y); loglog(x, y); The following MATLAB program demonstrates the use of “semilogx()”, “semilogy()”, and “loglog()” functions to change the axis scales to logarithmic scales in MATLAB. Example % MATLAB program to ... Read More

MATLAB programming has different built-in functions to customize the axis labels. In this article, we will explore the creation of custom axis labels of a plot in MATLAB. Functions to Customize Axis Labels MATLAB has the following built-in functions to create customized axis labels: "xlabel()" Function - The “xlabel()” function is used to apply label for X-axis in MATLAB. "ylabel()" Function - The “ylabel()” function is used to apply label for Y-axis in MATLAB. ... Read More