<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[theblack_的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/theblack_</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; theblack_]]></copyright><item><title><![CDATA[零基础入门心电图心跳信号多分类预测挑战赛-赛题理解]]></title><link>https://blog.youkuaiyun.com/theblack_/article/details/114896947</link><guid>https://blog.youkuaiyun.com/theblack_/article/details/114896947</guid><author>theblack_</author><pubDate>Tue, 16 Mar 2021 19:46:05 +0800</pubDate><description><![CDATA[零基础入门心电图心跳信号多分类预测挑战赛-赛题理解
1，比赛地址：https://tianchi.aliyun.com/competition/entrance/531883/introduction
2，比赛任务
以预测心电图心跳信号类别为任务，是一个多分类的预测。
3，查看数据
train_data = pd.read_csv(r"C:\Users\tian\Desktop\杂货店\datawhale\train.csv") 
test_data = pd.read_csv(r"C:\Users\tia]]></description><category></category></item><item><title><![CDATA[KNN算法，网格搜索，数据归一化]]></title><link>https://blog.youkuaiyun.com/theblack_/article/details/105599009</link><guid>https://blog.youkuaiyun.com/theblack_/article/details/105599009</guid><author>theblack_</author><pubDate>Sat, 18 Apr 2020 15:22:02 +0800</pubDate><description><![CDATA[调用KNN
网格搜索
数据归一化

import numpy as np 
import matplotlib.pyplot as plt

from sklearn import datasets 

# 以手写数据集为例
digits = datasets.load_digits() 
digits.keys()
dict_keys(['data', 'target', 'target_na...]]></description><category></category></item><item><title><![CDATA[调用CSV文件并将文件中的百分数转换为float，以及计算列的平均数，方差]]></title><link>https://blog.youkuaiyun.com/theblack_/article/details/103757844</link><guid>https://blog.youkuaiyun.com/theblack_/article/details/103757844</guid><author>theblack_</author><pubDate>Sun, 29 Dec 2019 21:21:40 +0800</pubDate><description><![CDATA[调用CSV文件并将文件中的百分数转换为float，以及计算列的平均数，方差

CSV文件就长这个亚子。
import numpy as py
import pandas as pd
import matplotlib.pyplot as plt

#sep=';',是因为CSV文件是以；为分隔符的
history = pd.read_csv(r'C:\Users\Administrator\Des...]]></description><category></category></item><item><title><![CDATA[获取股票信息]]></title><link>https://blog.youkuaiyun.com/theblack_/article/details/103566885</link><guid>https://blog.youkuaiyun.com/theblack_/article/details/103566885</guid><author>theblack_</author><pubDate>Mon, 16 Dec 2019 20:23:42 +0800</pubDate><description><![CDATA[首先要安装pandas_datareader，方法是pip install pandas_datareader
pandas_datareader是一个远程获取金融数据的Python工具，通过它可以方便获得下面公司和机构的数据：
Yahoo! Finance//雅虎金融
Google Finance//谷歌金融
Enigma//Enigma是一个公共数据搜索的提供商
St.Louis FED (F...]]></description><category></category></item><item><title><![CDATA[将jupyter notebook文件写入指定文件夹中]]></title><link>https://blog.youkuaiyun.com/theblack_/article/details/103002692</link><guid>https://blog.youkuaiyun.com/theblack_/article/details/103002692</guid><author>theblack_</author><pubDate>Sun, 10 Nov 2019 21:52:47 +0800</pubDate><description><![CDATA[我想将我的代码文件保存在E盘的“编写代码”文件夹中，2.打开anaconda终端，切换至我之前创建的名为data的环境下，输入e:按下enter会看到文件地址已更改为E:&gt;,然后输入cd  再右键粘贴路径，即可。



...]]></description><category></category></item><item><title><![CDATA[关于Python编程从入门到实践这本书中第16.1.3中的 header_row = next(reader)]]></title><link>https://blog.youkuaiyun.com/theblack_/article/details/102887190</link><guid>https://blog.youkuaiyun.com/theblack_/article/details/102887190</guid><author>theblack_</author><pubDate>Sun, 03 Nov 2019 21:20:21 +0800</pubDate><description><![CDATA[import csv
from datetime import datetime

from matplotlib import pyplot as plt

#从文件中获取日期和最高气温
filename = "csv/sitka_weather_07-2014.csv"
with open(filename) as f:
    reader = csv.reader(f)
    heade...]]></description><category></category></item></channel></rss>