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Python is one of the most popular languages in the programming world. The wide range of libraries and tools which are offered by the python language makes it mostly used language. Talking about the libraries we have Arcade library, a python library which works as the multimedia library helps in creating 2D games and graphics which can be included in them. In this article, we will be using the Arcade library for drawing an ellipse in Python. What is Arcade Library? A multimedia library in python, it provides various functions for creating 2D games, graphical objects, using shapes such ... Read More
The Derivative of a function is one of the key concepts used in calculus. It is a measure of how much the function changes as we change the output. Whereas Matplotlib is a plotting library for python, since it does not provide a direct method to calculate the derivative of a function you need to use NumPy, which is also one of the python libraries and you can use it to calculate the derivative of a function and Matplotlib for visualizing the results. In this article, we will be calculating the derivative of a function using the NumPy ... Read More
Python being a versatile programming language supports a wide range of libraries for various applications. It supports multiple programming paradigms, including structured, object-oriented, and functional programming. In this article, we will learn about matplotlib, how to create a graph using this library and then how to change the font size of the title in matplotlib figure by various methods. What is Matplotlib? Matplotlib is a multi-platform data visualization library. It is a full library for creating an animated and interactive visualization in python. It is an amazing visualization library in python for 2D and 3D plots of the array. ... Read More
Matplotlib one of the libraries of python, which plays an important role in beautifying plots and making the data analysis and data visualization an easier task. You can use Matplotlib for experimenting, by using different options available in it and creating a more appealing, informative plot. One common customization in Matplotlib is changing the line width of a graph plot. Since, line width controls the thickness of the lines, which are used in the plots at various points such as in connecting the plot points, etc. In this article, we will be learning how to change the line ... Read More
Matplotlib is a popular data visualization library used in python. It has wide range of tools and techniques for creating different types of plots. When we work in data visualization, color plays an important role in conveying information and making the work more appealing and easy to understand. We will start with the basics of Matplotlib, pyplot, creating graphs and then different methods to change the color of a graph plot with various examples. What is Matplotlib? Matplotlib is a simple interface for making different plots, where you have a variety of options to make changes to the plots. ... Read More
Introduction The success of machine learning algorithms depends on the quality of the data they use to extract knowledge. Machine learning algorithms may produce inaccurate or unintelligible results if data is inadequate or contains irrelevant information. By removing irrelevant and redundant information before learning, feature subset selection algorithms aim to reduce the amount of time it takes to learn. It reduces data dimensionality, improves algorithm efficiency, and enhances performance and interpretability. Feature subsets are evaluated using a correlation-based heuristic in a new feature selection algorithm. Three common machine learning algorithms are used to evaluate the algorithm's effectiveness, and experiments ... Read More
Introduction Spectral analysis plays a crucial role in understanding and modeling sinusoidal components in various fields such as statistics, signal processing, and time series analysis. Sinusoidal models are widely used to approximate sequences of data by fitting them to sine functions In this blog, you will be able to understand the spectral analysis in sinusoidal models, its applications, and the process of fitting a sinusoidal model to data. Understanding Sinusoidal Models A sinusoidal model aims to approximate a sequence of data points, denoted as Yi, using a sine function. The model can be represented as follows: "Yi = C ... Read More
Autoencoder networks, which are also referred to as auto-associative neural networks, are a specific type of neural network that is really good at replicating input patterns at the output layer and they can be achieved significant accomplishments in various domains, such as identifying patterns, analyzing biological information, recognizing speech, and validating signals. By mimicking and investigating the process of association, these networks offer a highly effective tool for representing data and reducing its complexity. A training procedure is used in auto-associative neural networks to collect input patterns and their related outputs. Even when the inputs are distorted or loud, the ... Read More
Turicreate is a Python toolkit developed by Apple that allows developers to create customized machine learning models. It is an open−source package that focuses on tasks like object identification, style transfer, categorization, and regression. Compared to other libraries like scikit−learn, Turicreate provides a more accessible approach for developers. In this blog, we will explore how to use Turicreate to gain insights into high leverage points. In this blog, we will show you how to use Turicreate to acquire insights into high leverage spots. How to install Turicreate? Let's imagine you are working with a retail company's customer dataset, which ... Read More
Introduction When training a neural network in deep learning, it is important to choose the right architecture and hyperparameters. Evaluating the network's performance on unseen data during training is crucial. PyTorch provides tools for creating and training neural networks in Python. To evaluate the neural network's testing accuracy, a validation set can be introduced. Installing PyTorch Let's ensure that we have the necessary dependencies installed before training neural networks in PyTorch. Using pip or conda, PyTorch can be installed. For computer vision tasks, run the following commands to install PyTorch along with the torchvision library: "pip install torch torchvision" ... Read More