<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[icehui2012的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/icehui2012</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; icehui2012]]></copyright><item><title><![CDATA[ubuntu18.04安装pycharm2024.1.2后，创建快捷方式图标]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/139356014</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/139356014</guid><author>icehui2012</author><pubDate>Fri, 31 May 2024 16:26:29 +0800</pubDate><description><![CDATA[Ubuntu 18.04 安装 PyCharm并创建快捷方式_untuntu018.04 pycharm怎么创建快捷方式-优快云博客]]></description><category></category></item><item><title><![CDATA[python在pycharm的terminal里安装包，非常好用的一条命令，无需在pycharm中设置镜像连接，注意结构（从国内镜像里）]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/133956089</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/133956089</guid><author>icehui2012</author><pubDate>Fri, 20 Oct 2023 23:55:38 +0800</pubDate><description><![CDATA[用的pip命令安装如下，注意结构：就是说，加入要安装pandas，上面那句命令就是：]]></description><category></category></item><item><title><![CDATA[修改表结构常用语句]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/88239344</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/88239344</guid><author>icehui2012</author><pubDate>Wed, 06 Mar 2019 15:53:26 +0800</pubDate><description><![CDATA[SQL脚本修改表结构 
新建表：
create table [表名]
(
[自动编号字段] int IDENTITY (1,1) PRIMARY KEY ,
[字段1] nVarChar(50) default '默认值' null ,
[字段2] ntext null ,
[字段3] datetime,
[字段4] money null ,
[字段5] int default 0,
[字段6]...]]></description><category></category></item><item><title><![CDATA[学习：数据表的“纵表”转“横表”，以及奇葩问题​​“ORA00923：未找到要求的FROM关键字”]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/87893975</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/87893975</guid><author>icehui2012</author><pubDate>Sat, 23 Feb 2019 16:58:12 +0800</pubDate><description><![CDATA[纵表的样式：


create table user_score
(
    name varchar(20),
    subjects varchar(20),
    score int
);
insert into user_score(name,subjects,score) values('张三','语文',60);
insert into user_score(name,subjec...]]></description><category></category></item><item><title><![CDATA[Kaggle ML for Titanic 技术代码Key points整理]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/78830932</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/78830932</guid><author>icehui2012</author><pubDate>Mon, 18 Dec 2017 11:02:15 +0800</pubDate><description><![CDATA[sns.set_style('whitegrid')

train_data.info()
print("-" * 40)
test_data.info()

train_data['Survived'].value_counts().plot.pie(autopct = '%1.2f%%')

train_data.Embarked[train_data.Embarked.isnull()] =]]></description><category></category></item><item><title><![CDATA[pandas数据框（DataFrame）方法快速入门，简要整理]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/78683162</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/78683162</guid><author>icehui2012</author><pubDate>Fri, 01 Dec 2017 09:44:00 +0800</pubDate><description><![CDATA[使用前谨记：所有方法都要落地到对数据的描述性应用统计——
1.删除DataFrame的列，两种方法：
方法一：

del df['列名']方法二：采用df的drop方法，有下面三种等价的表达式：

df= df.drop('column_name', 1)；

df.drop('column_name',axis=1, inplace=True)

df.drop([df.co]]></description><category></category></item><item><title><![CDATA[金融AI入门：每天学一点统计学（F1-score，roc，准确率，召回率）]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/78516868</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/78516868</guid><author>icehui2012</author><pubDate>Mon, 13 Nov 2017 09:55:12 +0800</pubDate><description><![CDATA[原博很有营养：http://blog.youkuaiyun.com/wangzhiqing3/article/details/9058523
F1分数（又叫F1-score），是衡量（未完待续）]]></description><category></category></item><item><title><![CDATA[金融AI入门：每天学一点统计学（数据类型，变量类型，统计方法……）]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/78495847</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/78495847</guid><author>icehui2012</author><pubDate>Fri, 10 Nov 2017 09:21:42 +0800</pubDate><description><![CDATA[眼下数据科学如此火热，入了金融ML的坑才发现，要补的知识实在是太多了，打算从今天起，时常整理一些自己了解的学到的知识，分享给大家。
一来整理在这里的知识，自己看着也方便；
二来给自己个恒心，不要半途而废。
今天就从统计学开始，想入坑的各位同学，记得培养自己对数据的Sense，很有必要。
1.什么是统计学？
统计学（Statistics），是收集、处理、分析、解释数据并从数据中得出结论的科]]></description><category></category></item><item><title><![CDATA[python3，使用sys.setdefaultencoding('utf-8')，编译时报错]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/76635534</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/76635534</guid><author>icehui2012</author><pubDate>Thu, 03 Aug 2017 16:28:01 +0800</pubDate><description><![CDATA[借鉴博客：http://blog.youkuaiyun.com/fly910905/article/details/74922378


正常情况下，我们在使用python做页面开发时，防止中文出现乱码问题，python2 情况下会使用：如下语句——

import requests, re, sys
reload(sys)
sys.setdefaultencoding("utf-8")


]]></description><category></category></item><item><title><![CDATA[jupyter notebook 换字体换颜色换主题]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/75933273</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/75933273</guid><author>icehui2012</author><pubDate>Sun, 23 Jul 2017 17:05:34 +0800</pubDate><description><![CDATA[原文在这里，毕竟。。。。jupyternotebook 原版win下的字体，太丑了


http://blog.youkuaiyun.com/mmmwhy/article/details/63260235]]></description><category></category></item><item><title><![CDATA[leetcode 236 Lowest Common Ancestor of a Binary Tree]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/73823466</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/73823466</guid><author>icehui2012</author><pubDate>Tue, 27 Jun 2017 20:35:29 +0800</pubDate><description><![CDATA[/**
 * Definition for a binary tree node.
 * struct TreeNode {
 *     int val;
 *     TreeNode *left;
 *     TreeNode *right;
 *     TreeNode(int x) : val(x), left(NULL), right(NULL) {}
 * };
 */
clas]]></description><category></category></item><item><title><![CDATA[leetcode 617 merge two binary trees]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/73801407</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/73801407</guid><author>icehui2012</author><pubDate>Tue, 27 Jun 2017 16:36:28 +0800</pubDate><description><![CDATA[https://leetcode.com/problems/merge-two-binary-trees/#/description


/**
 * Definition for a binary tree node.
 * struct TreeNode {
 *     int val;
 *     TreeNode *left;
 *     TreeNode *right;
 *]]></description><category></category></item><item><title><![CDATA[win7和win10下安装caffe和tensorflow的过程]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/73550506</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/73550506</guid><author>icehui2012</author><pubDate>Wed, 21 Jun 2017 16:43:26 +0800</pubDate><description><![CDATA[博主最近因为学习需要，不得不在win7和win10的机器上安装caffe和tensorflow，过程中踩坑无数，正应了林应老师那句话——没事儿别自寻烦恼


博主在win10上安装和编译caffe的过程参考了如下两篇博文，这里再次强调一下，小白还是不要尝试了，因为作为小白，你直接上手这种纯动手的过程，要踩的坑是我们走到今天都已经踩过的坑。
首先，参考链接：
http://blog.csd]]></description><category></category></item><item><title><![CDATA[win10下使用nltk的brown的词性tag包报错以及处理方法安装nltk相应包的操作办法]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/73385577</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/73385577</guid><author>icehui2012</author><pubDate>Sat, 17 Jun 2017 21:43:27 +0800</pubDate><description><![CDATA[笔者近期练习NLP的给句子的词性进行tag操作，操作中出错，具体显示如下：


LookupError                               Traceback (most recent call last)
C:\Users\Administrator\Anaconda2\lib\site-packages\nltk\corpus\util.py in __load(]]></description><category></category></item><item><title><![CDATA[windows 10 安装xgboost]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/73076988</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/73076988</guid><author>icehui2012</author><pubDate>Mon, 12 Jun 2017 00:07:00 +0800</pubDate><description><![CDATA[并不难，操作办法学自知乎：https://www.zhihu.com/question/46377605?sort=created


首先下载对应版本xgboost的win转制版，楼主本机：64位，win10，使用python3.6，所以下载的版本是：








链接：http://www.lfd.uci.edu/~gohlke/pythonlibs/#xgboos]]></description><category></category></item><item><title><![CDATA[从 0 到 1 走进 Kaggle]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/72620876</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/72620876</guid><author>icehui2012</author><pubDate>Mon, 22 May 2017 07:22:26 +0800</pubDate><description><![CDATA[http://blog.youkuaiyun.com/aliceyangxi1987/article/details/72461466]]></description><category></category></item><item><title><![CDATA[windows下Python2与Python3共存的使用方法以及pip的使用方法以及pip安装报错：is not a supported wheel on this platform的处理方法]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/72599170</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/72599170</guid><author>icehui2012</author><pubDate>Sun, 21 May 2017 16:39:20 +0800</pubDate><description><![CDATA[http://blog.youkuaiyun.com/u012318074/article/details/52411005]]></description><category></category></item><item><title><![CDATA[小白玩Caffe——基于Ubuntu14.04+CUDA8.0+cudnn5.1的Caffe安装与MNIST实验]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/65445559</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/65445559</guid><author>icehui2012</author><pubDate>Thu, 23 Mar 2017 19:54:22 +0800</pubDate><description><![CDATA[作者：七月在线老宅
时间：2017年3月23日

硬件：Core i7-6700；16GB；Nvidia GeForce GTX1070；500G SSD


（多说一句——老宅血泪感悟：搞DL没有好硬件是不行的）

平台：台式PC
软件：Linux 对应的GTX1070驱动；cuda8.0；cudnn 5.1；Linux 14.04 LTS，，，用git安装caffe
网络：]]></description><category></category></item><item><title><![CDATA[适用小白：为什么要用Jupyter？以及，如何在Linux的Ubuntu 14.04LTS上安装和启动Jupyter Notebook]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/64125570</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/64125570</guid><author>icehui2012</author><pubDate>Mon, 20 Mar 2017 16:41:10 +0800</pubDate><description><![CDATA[首先，安装Jupyter，本文时基于Ubuntu14.04的LTS版本，即首先需要搭建一个适于安装JupyterNotebook的环境，
如果你是小白，请务必参考本博客的两篇博文：
1.Ubuntu安装及相应的Python环境搭建：
http://blog.youkuaiyun.com/icehui2012/article/details/62219008
2.Anaconda安装及对应调试：
ht]]></description><category></category></item><item><title><![CDATA[小白式ubuntu14.04在安装anacoda后造成的路径错误问题以及后续问题处理方法]]></title><link>https://blog.youkuaiyun.com/icehui2012/article/details/64123382</link><guid>https://blog.youkuaiyun.com/icehui2012/article/details/64123382</guid><author>icehui2012</author><pubDate>Mon, 20 Mar 2017 11:34:26 +0800</pubDate><description><![CDATA[本文借鉴的原帖地址：http://blog.youkuaiyun.com/qq_26898461/article/details/51485491
因为安装持续和其他细节的不同，本文只借鉴原文的一部分。


本博客成写过一篇ubuntu+tensorflow等的环境配置的文章，原文地址：
http://blog.youkuaiyun.com/icehui2012/article/details/62219008]]></description><category></category></item></channel></rss>