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Overview An array can be a collection of anything but should be of the same data type. We can store any digit and text of the array, so to filter the data from an array using the AngularJs can be achieved by some key value attributes pair. The filter rule plays a key role to create this feature, there are also some AngularJs attributes that play a major role to build this feature these are: ng−model and ng−repeat. The ng−model attribute defines the input type text search box to connect with the ordered list and filter it out an array. ... Read More
In this article we will get to know about wxPython and we will create a program to make a pop-up item menu. Pop-up menus are graphical user interfaces (GUIs) which allow us to show some specific items and options. Here in this tutorial, we will learn how to create and implement popup menus in wxPython. It is a GUI toolkit for python language which provides us with a set of bindings and allows developers to create cross platform applications having native interface. Installing wxPython Using pip Command pip install wxPython in case it is not getting installed type ... Read More
Density Estimation is an essential part of both machine learning and statistics. It means getting the probability density function (PDF) of a group. It is necessary for many things, like finding outliers, putting things into groups, making models, and finding problems. Based on deep learning, this study looks at all the ways to measure old and new density. Traditional Density Estimation Methods Histograms Whether you need to know in a hurry whether your data collection is complete, a histogram is the way to go. They take the data range and chunk it up into categories called " bins " to determine ... Read More
Introduction Python is a flexible and strong programming language that gives programmers a variety of tools and environments to create and run their code in. Two popular Python programming environments, Jupyter Notebook and Python IDLE, each have their unique advantages and capabilities. The definitions, features, processes, and use cases of Jupyter Notebook and Python IDLE will be thoroughly compared in this paper. By the conclusion, you will have a thorough understanding of different environments, allowing you to choose the one that best meets your coding requirements. Definition Jupyter Notebook Users can create and share interactive documents known as notebooks using ... Read More
Introduction The k-Nearest Neighbor is a powerful and straightforward technique to solve problems related to classification and regression. It makes the prediction on the input samples and checks for how similar the samples are to one another. In this present article we will explain k-NN technique and implementation of python, with two different types of approaches . To ensure a clear comprehension of this well-known technique, we will offer step-by-step explanations replete with executable code and results. k-Nearest Neighbor Algorithm A supervised machine learning ( ML) technique used for classification and regression problems is called the k-Nearest ... Read More
Introduction Clustering, which groups similar bits of data based on shared characteristics, is a prominent technique in unsupervised machine learning. K-Means clustering is a popular clustering algorithm. Data is divided into K clusters using the iterative K-Means technique, where K is a predetermined number. The process minimizes the sum of squared distances between the cluster centroids and the data points. In this post, we will look at how to use the Python Scikit-Learn package to conduct K-Means clustering on handwritten digits data. Definition A straightforward and efficient unsupervised learning approach called K-Means clustering seeks to separate a dataset into K ... Read More
Introduction The fit() and fit generator() methods in Keras make it incredibly easy to train deep neural networks in Python. The fit() method makes it possible to efficiently process and train on batches of data, making it particularly useful for smaller datasets that can be loaded into memory. On the other hand, the fit generator() method, which enables dynamic loading and processing of batches, is better suited for larger datasets that cannot be loaded into memory all at once. Basics of Keras Today, technology has improved in every way possible. So, in this advanced environment of technology and future, Keras ... Read More
Introduction The strong deep learning framework Keras makes it easier to create neural networks. Model performance monitoring, bug detection, and code quality assurance become increasingly important as models become more complicated and large-scale. This article examines how developers may closely monitor their Keras models with the use of CodeMonitor, a code analysis and monitoring tool. We will start by outlining what CodeMonitor is before going into its syntax and how it can be used with Keras models. A step-by-step algorithm for integrating CodeMonitor into Keras projects will also be presented, along with two techniques that highlight the tool's possibilities. We'll ... Read More
kaiser in Numpy – Python: Introduction A typical windowing function in signal processing and data analysis is the Kaiser window. Applications like spectral analysis, filter design, and windowed Fourier transforms all benefit greatly from it. A popular windowing function that is essential to many signal processing and data analysis applications is the Kaiser window. The Kaiser window offers a versatile and adaptable tool to manage the trade-off between the main lobe width and the sidelobe levels in any application, including spectrum analysis, filter design, and windowed Fourier transforms. The Kaiser window significantly reduces spectrum leakage artefacts and signal leakage, which ... Read More
Introduction A prominent Indian game show called Kaun Banega Crorepati (KBC) is modelled after the international game show "Who Wants to Be a Millionaire." In this post, we'll look at how to use the Python programming language to make a streamlined version of the KBC game. KBC Definition In the KBC game, competitors select the proper answers to multiple-choice questions to win a prize that grows with each correct response. The objective of the game is to choose the right response from a collection of questions with several possible answers. A certain sum of money is awarded for each correct ... Read More