Programming VIP

1, Time series prediction method 1.Autoregression (AR) 2.Moving Average (MA) 3.Autoregressive Moving Average (ARMA) 4.Autoregressive Integrated Moving Average (ARIMA) 5.Seasonal Autoregressive Integrated Moving-Average (SARIMA) 6.Seasonal Autoregressive Integrated Moving-Average with Exogenous Regressors (SARIMAX) 7.Vector Autoregressi ...

catalogue 1. Overview (1) Intelligent optimization algorithm   (2) Swarm intelligence algorithm 2. Particle swarm optimization   3. Program block diagram 4. Code 5. References 1. Overview (1) Intelligent optimization algorithm   (2) Swarm intelligence algorithm 2. Particle swarm optimization     &nbsp ...

Note: this blog is a summary of Mr. Li Hang's notes on statistical learning methods. Many contents in the blog are extracted from Mr. Li Hang's Book Statistical learning methods, which is only for learning and communication. Generation of decision tree In the last blog Decision tree (I) -- Construction of decision tree In, we have described t ...

1, Introduction to Logistic regression Logistic regression is a widely used classification machine learning algorithm. It fits the data into a logistic function (or logistic function), so as to predict the probability of events. To say logistic regression, we have to trace back to linear regression. We must all have a certain understanding of ...

Explore YOLO v3 source code - conclusion prediction Updated: Part 1 training: https://mp.weixin.qq.com/s/T9LshbXoervdJDBuP564dQ Part 2 model: https://mp.weixin.qq.com/s/N79S9Qf1OgKsQ0VU5QvuHg Part 3 network: https://mp.weixin.qq.com/s/hC4P7iRGv5JSvvPe-ri_8g Chapter 4 truth value: https://mp.weixin.qq.com/s/5Sj7QadfVvx-5W9Cr4 ...

catalogue Unsupervised learning 1 -- clustering What is unsupervised learning? What are the applications of clustering?   K-means algorithm Language expression steps   Pseudo code represents the process of k-means   It is often used to solve the problem of poorly separated clusters Optimization objectives   Random i ...

2021SC@SDUSC catalogue 1, Write in front 2, StatusCode 3, Response 4, ResultFactory 1, Write in front         In the previous article, we mainly analyzed various logic of the server. Before analyzing the code of the client, this chapter and the next two to three chapters will serve as a connecting part, focusing on ...

preface In order to record my learning process, I have roughly sorted out the analysis process. The tool is to use Jupiter notebook, which I prefer, and then export it into md format and send it to csdn to share with you; This is only a simple analysis process, so it is relatively simple. If there is something wrong, I hope you can include it ...

task A handwritten numeral classifier is trained using MNIST data set. Prepare dataset The data set is an array of 70000784, 70000 pictures, each with 728 pixels, which can be displayed by resizing into 2828 pictures. All the training processes here use a 728 length vector. However, it can be seen that this method is obviously not well a ...

Hello, I'm brother Shuai. The original series is continuously updated. Welcome to wechat search "Python data science" to read the machine learning series. Recently, a parameter adjusting artifact on kaggle is very popular and appears frequently in the top scheme. It is OPTUNA. I know that many small partners are worried about the lon ...