Course 14175
Course Introduction:WeChat video account: PHP Chinese website tutorial, live broadcast debut! Time: 2022-2-24 20:00-22:00! Core topics: 1. Web development language characteristics and development trends; 2. Global PHP language development status; 3. Domestic PHP job status and salary; 4. Objective analysis of PHP and Java, Python...; 5. Newcomers entering PHP Three major pain points; 6. Is it necessary to master the front-end to learn PHP? 7. Which should I choose between ThinkPHP and Laravel? 8. Positioning and mission of PHP Chinese website. 8 themes let you see clearly what PHP is from 360 degrees without blind spots?
Course 2857
Course Introduction:Course introduction: 1. Cross-domain processing, token management, route interception; 2. Real interface debugging, API layer encapsulation; 3. Secondary encapsulation of Echarts and paging components; 4. Vue packaging optimization and answers to common problems.
Course 1795
Course Introduction:Apipost is an API R&D collaboration platform that integrates API design, API debugging, API documentation, and automated testing. It supports grpc, http, websocket, socketio, and socketjs type interface debugging, and supports privatized deployment. Before formally learning ApiPost, you must understand some related concepts, development models, and professional terminology. Apipost official website: https://www.apipost.cn
Course 5521
Course Introduction:(Consult WeChat: phpcn01) The comprehensive practical course aims to consolidate the learning results of the first two stages, achieve flexible application of front-end and PHP core knowledge points, complete your own projects through practical training, and provide guidance on online implementation. Comprehensive practical key practical courses include: social e-commerce system backend development, product management, payment/order management, customer management, distribution/coupon system design, the entire WeChat/Alipay payment process, Alibaba Cloud/Pagoda operation and maintenance, and project online operation. .....
Course 5172
Course Introduction:(Consult WeChat: phpcn01) Starting from scratch, you can solve conventional business logic, operate MySQL with PHP to add, delete, modify, and query, display dynamic website data, master the MVC framework, master the basics of the ThinkPHP6 framework, and learn and flexibly master all knowledge involved in PHP development. point.
Laravel 9.x: Redirect user to view success message after registration
2023-11-12 22:55:21 0 1 336
Implement filters and pagination using Laravel Eloquent
2023-11-12 18:42:35 0 1 310
Retrieve MySql rows with the same column value
2023-11-10 21:53:39 0 2 331
2023-11-09 23:58:07 0 1 311
How to force installation of PHP 8.1 using Homebrew?
2023-11-09 00:02:27 0 1 262
Course Introduction:The Lord of the Dance returns to where the dream begins. The Lord of the Dance returns and the gods return to their thrones. Log in and receive a hundred-dollar gift! The new expansion pack for the Audition mobile game "The Return of the Dance: Back to the Place where the Dream Begins" is officially launched today! Powered by The "Audition" mobile game, represented by NetEase and developed by Jiuyou, sincerely invites all the kings of dance to return to the AU world and the place where dreams began! Return benefits are super-increased, and out-of-print costumes are waiting for you to win! Log in to the official website of "Audition" mobile game to download Game and receive exclusive return rewards! Come back and enjoy it without any threshold! Log in to get a gift and receive a full set of permanent clothing without threshold! During the event, you can wear out-of-print clothing worth 688 yuan for free [Hip-Hop Trend] and [Cow Moo] after logging in cumulatively during the event. !The new clothes of the Dance King are ready, just waiting for you to change the clothes with one click! Complete the mission and draw out-of-print clothes! The return mission will help you quickly become familiar with the AU
2024-03-07 comment 851
Course Introduction:Lasso regression is a linear regression technique that penalizes model coefficients to reduce the number of variables and improve model prediction ability and generalization performance. It is suitable for feature selection of high-dimensional data sets and controls model complexity to avoid overfitting. Lasso regression is widely used in biology, finance, social networks and other fields. This article will introduce the principles and applications of Lasso regression in detail. 1. Basic principles Lasso regression is a method used to estimate the coefficients of linear regression models. It achieves feature selection by minimizing the sum of squared errors and adding an L1 penalty term to limit the model coefficients. This method can identify the features that have the most significant impact on the target variable while maintaining prediction accuracy. Suppose we have a data set X, containing m samples and n features. Each sample
2024-01-24 comment 157
Course Introduction:Univariate linear regression is a supervised learning algorithm used to solve regression problems. It fits the data points in a given dataset using a straight line and uses this model to predict values that are not in the dataset. The principle of univariate linear regression is to use the relationship between an independent variable and a dependent variable to describe the relationship between them by fitting a straight line. Through methods such as the least squares method, the sum of squares of the vertical distances from all data points to this fitting straight line is minimized, thereby obtaining the parameters of the regression line, and then predicting the dependent variable value of the new data point. The general form of the univariate linear regression model is y=ax+b, where a is the slope and b is the intercept. Through the least squares method, estimates of a and b can be obtained such that the distance between the actual data points and the fitted straight line
2024-01-22 comment 865
Course Introduction:Ridge regression is a commonly used linear regression method. It can achieve better results than ordinary least squares regression when dealing with multicollinearity problems, and can also be used for feature selection. Python is a powerful programming language, and it is very convenient to use Python for ridge regression analysis. This article will introduce how to use Python to perform ridge regression analysis through an example. First, we need to import the required libraries as follows: importpandasaspdimportnumpyas
2023-06-10 comment 0 711
Course Introduction:Logistic regression model is a classification model used to predict the probability of binary variables. It is based on a linear regression model and implements classification tasks by converting the output of linear regression into predicted probabilities. Logistic regression models play an important role in predicting the probability of binary variables. It is widely used in various classification problems, such as predicting the rise and fall of the stock market, whether credit card holders will default, etc. In addition, the logistic regression model can also be used for feature selection, that is, selecting features that have a significant impact on the prediction results. In addition, the logistic regression model can also be used for visualization by drawing ROC curves to evaluate model performance. In this way, we can intuitively understand the predictive power of the model. Logistic regression
2024-01-22 comment 370