Linear regression predicts Boston housing prices & the reason for loss is NAN & draws a scatter plot to find the relationship between features and labels

Boston house price csv file Link: https://pan.baidu.com/s/1uz6oKs7IeEzHdJkfrpiayg?pwd=vufb Extraction code: vufb Code %matplotlib inline import random import torch import matplotlib.pyplot as plt import numpy as np import pandas as pd import torch Get the data set from CSV # Load data, the first line is a useless line, skip it directly boston = pd.read_csv(‘../data/boston_house_prices.csv’,skiprows=[0]) # There […]

mybatis handles one-to-many, many-to-one, many-to-many relationships, annotations and xml file writing

Zero, Preface This article is used to study one-to-many, many-to-one, and many-to-many relationships between tables and objects. Two methods of xml file configuration and annotation configuration were studied Super complete~ The entities used for research are students, teachers, courses Note: The relationship between students and teachers should be many-to-many. This article uses many-to-one, that is, […]

The principles of Go language coroutines and the relationship between coroutines and threads! (Very important)

The coroutine of Go language is something unique compared to other languages, and it is also very important. Many times we want to understand its underlying principles, but cannot find suitable knowledge points on the Internet. For example, if you ask GPT, he will answer you like this : Coroutines and threads are both technologies […]

The use of data, the creation of table relationships, and the request life cycle flow chart of the Django framework

Table of Contents 1. Add, delete, modify and check data 1. Display of user list 2. Modify the logical analysis of data 3. Analysis of deletion function 2. How to create table relationships 3. Django’s request life cycle flow chart 1. Add, delete, modify and check data 1. Display of user list Query all user […]

[ElasticSearch Series-08] ElasticSearch handles the relationship between objects

ElasticSearch series overall column Content Link address [1] ElasticSearch download and installation https://zhenghuisheng.blog.csdn.net/article/details /129260827 [2] ElasticSearch concepts and basic operations https://blog.csdn.net/zhenghuishengq/article/details/134121631 [3] ElasticSearch’s advanced query Query DSL https://blog.csdn.net/zhenghuishengq/article/details/134159587 [4] Aggregation query operation of ElasticSearch https://blog.csdn.net/zhenghuishengq/article /details/134159587 [5] SpringBoot integrates elasticSearch https://blog.csdn.net/zhenghuishengq/article/details/134212200 [6] The construction of Es cluster architecture and the core concepts of clusters https://blog.csdn.net/zhenghuishengq/article/details/134258577 […]

R language EG (Engle-Granger) two-step cointegration test, RESET, Granger causality test, VAR model to analyze the time series relationship between CPI and PPI…

Full text link: http://tecdat.cn/?p=31108 As basic indicators for measuring inflation, the relationship and transmission mechanism of consumer price index CPI and producer price index PPI have always been core issues in macroeconomic research. (Click “Read the original text” at the end of the article to get the completecode data) . Research on this issue obviously […]

R language uses a linear mixed effects (multi-level/layered/nested) model to analyze the relationship between pitch and polite attitude…

Full text download link: http://tecdat.cn/?p=23681 What is the difference between the linear mixed effects model and the linear model we already know(Click “Read the original text” at the end of the article to get the completeCode data)? Related videos A linear mixed model (sometimes called a “multilevel model” or a “hierarchical model”, depending on the […]