Black horse programmer machine learning handout: preliminary use of linear regression API

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List of articles

• Preface
• One 、pandas What is it? ？
• Two 、 Use steps
  • 1. Import and stock in
  • 2. Read in the data
• summary

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Preface

Tips ： Here you can add the general content to be recorded in this article ：

for example ： With the development of artificial intelligence , Machine learning is becoming more and more important , A lot of people have turned on learning machine learning , This paper introduces the basic content of machine learning .

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Tips ： The following is the main body of this article , The following cases can be used for reference

One 、pandas What is it? ？

Example ：pandas Is based on NumPy A tool of , The tool is created to solve data analysis tasks .

Two 、 Use steps

1. Import and stock in

The code is as follows （ Example ）：

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import warnings
warnings.filterwarnings('ignore')
import  ssl
ssl._create_default_https_context = ssl._create_unverified_context

2. Read in the data

The code is as follows （ Example ）：

data = pd.read_csv(
    'https://labfile.oss.aliyuncs.com/courses/1283/adult.data.csv')
print(data.head())

It's used here url Data requested by the network .

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summary

Tips ： Here is a summary of the article ：
for example ： That's what we're going to talk about today , This article only briefly introduces pandas Use , and pandas Provides a large number of functions and methods that enable us to process data quickly and conveniently .