Found 27104 Articles for Server Side Programming

Introduction Predictive analysis makes heavy use of linear regression, a key idea in machine learning and data analysis. The top open-source machine learning framework TensorFlow offers powerful tools for putting linear regression models into practise. By using concrete examples, this article will guide you through the specifics of linear regression in the context of TensorFlow. Understanding Linear Regression By fitting the data to a linear equation, the predictive statistical technique of linear regression seeks to simulate the connection between a dependent variable and one or more independent variables. In essence, it uses historical data to anticipate the result for a ... Read More

Any data scientist must comprehend the fundamentals of linear regression because it is a key algorithm in machine learning and statistics. Numerous libraries in Python make it easier to implement this approach, with Statsmodels being one of the most potent. This article explores the use of linear regression using Statsmodels, using examples drawn from actual data to aid comprehension. Understanding Linear Regression By fitting a linear equation to the observed data, linear regression is a statistical technique that models the relationship between two variables. While one variable is the dependent variable whose change is being examined, the other is the ... Read More

Due to its simplicity and effectiveness, linear classifiers have been a mainstay of machine learning for a long time. A well-liked machine learning framework called TensorFlow provides complete support for these models. This article offers an introduction to TensorFlow's linear classifiers, explaining how they operate and how to use them in your applications. Understanding Linear Classifiers Using a line, plane, or hyperplane, a linear classifier divides data into distinct classes. Because the dividing line is linear with respect to the input space, it is called a "linear" boundary. Binary or multi-class linear classifiers are applied to issues where the relationship ... Read More

Matplotlib is undoubtedly one of the most well-known and widely used of the features that make Python a potent language for data visualisation. Line plots, which are essential tools for displaying data trends, are only one of the many plot styles that can be created using its adaptable framework. In order to help you better grasp how to alter line plot styles in Matplotlib, this article takes you on a thorough exploration of the topic. Remember that Matplotlib has a multitude of other plot customization options that are tailored to the various demands of data visualisation projects, even though our ... Read More

Plotly is an interactive, open-source toolkit that enables users to build a wide range of aesthetically pleasing and intelligent charts in the field of data visualisation in Python. The line chart, one of the most popular chart forms, is the subject of this article. In order to help you comprehend, we'll go over how to make line charts using Plotly while using practical examples. Even though we'll focus mostly on line charts, keep in mind that Plotly is a flexible library that supports a wide range of additional chart styles, offering countless opportunities to tell engaging tales with data. A ... Read More

Pygal stands out among the different Python data visualisation tools. The SVG (Scalable Vector Graphics) outputs from Pygal strike an excellent balance between elegance and customization. This article is devoted to building line charts in Pygal and includes pertinent examples to aid with comprehension. The development of line charts is the main emphasis of this book, however Pygal has many other features and a wide range of chart styles to meet a variety of data visualisation requirements. Pygal: A Quick Recap An open-source Python package called Pygal is used to produce stunning SVG charts that are both interactive and browser-friendly. ... Read More

Pandas, a Python package, is now the tool of choice for data scientists and analysts all around the world. Row and column selection from dataframes is one of its many functions for data manipulation and analysis. This article examines, using real-world examples, how to use Pandas to pick a set number of rows with a particular column. While we emphasise one particular feature of Pandas, keep in mind that the library's capabilities go much beyond this, making it a crucial tool for data processing. Pandas DataFrame: A Brief Introduction For Python, Pandas offers a fast, user-friendly data structure (DataFrame) and ... Read More

With over a billion members, Instagram is a hugely successful social networking website. It is a favourite platform for data scientists, marketers, and developers alike because to its strong API and data accessibility. With the aid of 2-3 examples, we will examine how to like Instagram photos programmatically using Python and Selenium in this article. Please be aware that this information is only meant to be instructive. Respecting Instagram's rules and refraining from behaviour that can be construed as spamming are crucial. Getting Started: Installation and Setup You need to set up your environment before you start coding. Python and ... Read More

A GUI (Graphical User Interface) that fluidly alternates between bright and dark themes may be something you're interested in programming. Tkinter is your go-to library for creating such apps if you're using Python. This tutorial will show you how to use Tkinter to make a light or dark theme changer. What is Tkinter? Python's default GUI package is Tkinter. It is a preferred method for developing desktop apps. One of Tkinter's numerous advantages is its simplicity and adaptability, which let you design widgets and interfaces with changeable properties like buttons, labels, text boxes, menus, and more. Importance of Theme Changing ... Read More

While working with JSON objects, Sometimes we need to delete an index or key from the JSON object to remove unwanted data or modify the structure. We can delete the index from a JSON object using methods like the delete operator, filter method, and lodash library. In this article, we will explore these different methods to delete an index from a JSON object. Prerequisites To follow along with the examples provided in this article, you should have a basic understanding of JavaScript and JSON syntax. Additionally, you will need a text editor or an integrated development environment (IDE) to write ... Read More