Tag：average value

Time：20211116
Original link:http://tecdat.cn/?p=22360 In this article, we will learn a standard method to establish volatility model in price series, namely generalized autoregressive conditional heteroscedasticity (GARCH) model. The idea of GARCH model of price fluctuation is to use the recent realization of error structure to predict the future realization of error structure. More simply, we often see […]

Time：2021117
Original link:http://tecdat.cn/?p=6608 introduce In this article, I will introduce you to the basics of integrated modeling. In addition, in order to provide you with practical experience in integration modeling, we will use r for integration. 1. What is integration? Generally, integration is a technology that combines two or more similar or different types of algorithms, […]

Time：20211028
Note: This article is forwarded and translated from the latest global data published by cybervein official medium. Cybervein was founded in 2017, initiated by Singapore CV technology foundation, and authorized the global smart city operation center to carry out the construction and development of global smart cities. As a project with landing industries, applications and […]

Time：20211017
When it comes to database ranking, what comes to mind at this time? yesDBEngines, orRanking of inkwheel database？ What’s the difference between the two? Let’s talk about the two wellknown database ranking platforms in the industry.This article is about 3000 words and the reading time is expected to be 7 minutes. If the reading time […]

Time：2021929
The logistic regression prediction should be unbiased. That is, the “predicted average” should be approximately equal to the “observed average”Prediction deviationIt refers to the difference between the two averages. Namely:Forecast deviation = forecast average – the average of the corresponding labels in the datasetNote: “forecast deviation” is not the same as “Deviation” (“B” in “Wx […]

Time：202189
Original link:http://tecdat.cn/?p=6608 Original source:Tuo end data tribal official account introduce In this article, I will introduce you to the basics of integrated modeling. In addition, in order to provide you with practical experience in integration modeling, we will use r for integration. 1. What is integration? Generally, integration is a technology that combines two or […]

Time：2021628
Achievement statistics 1) Write a function randscore to generate an integer of [0100] interval（ Tip: use rand function) int randScore(){ int num = rand() % 101; return num; } 2) Write a function, using the above randscore function, randomly generate the results of a course for the whole class. void stuRandomScore(int stuScore[]){ for (int i […]

Time：202162
preface Previously, we talked about some common ways to start optimization, but some of our little friends disdain it “These methods have been known for a long time. Don’t you know how to say something new? Like app startup? Can it help start optimization? “ OK, since you have asked sincerely, I will tell you […]

Time：202156
Link to the original text:http://tecdat.cn/?p=21773 summary Learn the steps to create a time series forecast Focus on Dickey fuller test and ARIMA model Learn these concepts in theory and their implementation in Python introduce Time series (from now on called TS) is considered to be one of the littleknown skills in the field of data […]

Time：2021414
Data analysis and processing library import pandas as pd df=pd.read_csv(“./pandas/data/titanic.csv”) df.head (N) Read the first n rows of data df.head(6) df.info () get a brief summary of the dataframe df.info() <class ‘pandas.core.frame.DataFrame’> RangeIndex: 891 entries, 0 to 890 Data columns (total 12 columns): # Column NonNull Count Dtype — —— ————– —– 0 PassengerId 891 […]

Time：202146
Time format and time query import pandas as pd date=pd.Timestamp(‘2020/09/27 13:30:00’) print(date) 20200927 13:30:00 #Year print(date.year) #Month print(date.month) #Day print(date.day) #Time print(date.hour) #Points print(date.minute) #Seconds print(date.second) 2020 9 27 13 30 0 #Plus 5 days date+pd.Timedelta(‘5 days’) Timestamp(‘20201002 13:30:00’) #Time conversion res=pd.to_datetime(‘20200910 13:20:00’) print(res.year) 2020 #Generate a column of data se=pd.Series([‘20201124 00:00:00′,’20201125 00:00:00′,’20201126 00:00:00’]) print(se) […]

Time：2021121
MTR is a very useful network analysis tool. I believe many people have used it, because it is often used in personal work to analyze the network situation, and it is very simple and practical. Today, brother migrant workers will introduce and recommend it to you. 1. Introduction to MTR MTR is a very good […]