(2020-02-05 (水) 09:08:32)
https://sites.google.com/site/iwanamidatascience/vol2/word-embedding
どっとインストール
ATCorder
AIZU ONLAIN
https://teratail.com/questions/138721
テキスト
インライン要素
&u{文字列};
インライン要素
#table_color(#81BEF7,#777){列1=#ddd, 列2=#fff, 列3=#eee}
| 列1 | 列2 | 列3 |
|---|---|---|
| 1 | 2 | 3 |
| 1 | 2 | 3 |
| 1 | 2 | 3 |
| column1 | column2 | column3 |
|---|---|---|
| column1 | column2 | column3 |
| 1 | 3 | 4 |
| 3 | 4 | 5 |
| 6 | 8 | 9 |
| 33 | 44 | 1 |
| 200 | 33 | 4 |
| 201 | 39 | 3 |
| 393 | 9 | 39 |
#table_zebra(table01, #ddd, #fff, #fd8)
t615033? (2019-10-18 (金) 07:00:54)
a
texインストール http://ftp.jaist.ac.jp/pub/CTAN/systems/texlive/Images/
https://texwiki.texjp.org/?TeX%20Live%2FWindows
テキスト図URL 山元->
http://projector.tensorflow.org/?config=https://wikipedia2vec.github.io/projector_files/config.json
https://wikipedia2vec.github.io/wikipedia2vec/
|
沼田/リンク/2026-01-02?は空です。 | |||||||||||||||||||||||||||||||||||||||||||||||||
\\ 50ea71ecd21d426e8d4df43261b81952 インライン要素asgsdhgjkashgjkdhaslgっっっっっっっっっs
| データ | データ |
#ee7800
アンカーの設定[#8桁の英数字]
#ref(): File not found: "crawl.png" at page "沼田/リンク"
| インライン要素 |
| インライン要素 | |
| aaaaaaa | aaaaaaaa |
| ◢ | ||
| ∇ | ▲ | ◢ |
| ◢ | ||
| 1 | 2 | |
| 3 | 4 | |
| 5 | ||
| ああ |
#pre{{
import requests
import lxml.html
def main():
"""
クローラーのメインの処理
"""
response = requests.get('https://gihyo.jp/dp')
#scrape_list_page()関数を呼び出し、ジェネレーターイテレーターを取得する
urls = scrape_list_page(response)
for url in urls: #ジェネレーターイテレーターはlistなどと同様に繰り返し可能
print(url)
def scrape_list_page(response):
"""
一覧ページのresponseから詳細ページのURLを抜き出すジェネレーター関数
"""
root = lxml.html.fromstring(response.content)
root.make_links_absolute(response.url)
for a in root.cssselect('#listBook a[itemprop="url"]'):
url = a.get('href')
yield url #yield文でジェネレーターイテレーターの要求を返す
if __name__ == '__main__':
main()
}}
!#versionlist
@using WebApplication2 @{
Score s = new Score(0, 80);
List<Score> list = new List<Score>();
Random rand = new Random();
for (int i = 0; i < 100; i++)
{
list.Add(new Score(i, rand.Next(0, 101)));
}
} @using WebMatrix.Data @{
var scoredb = Database.Open("scoredb");
var data = scoredb.Query("select * from Score");
}
!DOCTYPE html>
html>
head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <title></title> <meta charset="utf-8" /> <style type="text/css"> h1.wai { color: red; }
h1.hoge {
color: blue;
}
li.n1 {
color: yellow;
}
li.n2 {
color: gold;
}
li.n3 {
color: skyblue;
}
li.o50 {
color: red;
}
li.u50 {
color: blue;
}
</style>
/head>
body>
@foreach(var a in data) { <p>@a.id:@a.score</p> } <form action="add.cshtml" method ="post"> <input type="text" name="id" /> <input type="text" name="score" /> <input type="submit" /> </form> <h1 class="wai">わーーーーーい</h1> <h1 class="hoge">ほげーーーー</h1> <p>@s.id:@s.score</p>
<p>UL LIを使って、箇条書きで表示してください</p>
<p>CSSを使って、50点以上は赤、未満は青で表示してください</p>
@{
foreach (Score ss in list)
{
if (@ss.score >= 50)
{
<ul>
<li class="o50">
@ss.id @ss.score
</li>
</ul>}
else
{<ul>
<li class="u50">
@ss.id @ss.score
</li>
</ul>
}
}
}
<p>段落です</p>
<ul>
<li class="n1">一番目</li>
<li class="n2">二番目</li>
<li class="n3">三番目</li>
</ul>
/body>
/html> https://www.sirloin-nagurigaki.net/entry/2018/11/03/220058
links
BTC
https://news.livedoor.com/article/detail/16920187/?p=1
https://dagashiya-bitcoin.com/crypto/bitmex
https://bitcoin-talk.info/post-61/
https://www.bitmex.com/app/trade/XBTUSD
https://cc.minkabu.jp/pair/BTC_JPY
https://coinotaku.com/?p=16529#sec3
https://coinotaku.com/?p=2042
https://coinzmoney.com/16076
https://bitcoin-talk.info/ryoudate/
https://fx-navi.tokyo/fx-technical-503#FX3
https://bitcoin-talk.info/bitmex-orderhistory/
https://bitcoin.peryaudo.org/design.html
MUSIC
https://2conv.com/jp/
https://recochoku.jp/artist/2000023103/song/?sort=05
https://w.atwiki.jp/hmiku/pages/62.html
https://vocaran.jpn.org/userranking/sum/million
https://w.atwiki.jp/hmiku/pages/17600.html
https://w.atwiki.jp/hmiku/pages/8778.html
https://dic.nicovideo.jp/a/164
https://www.youtube.com/channel/UCnBDyZSm1S2UFwgzCyIbCQg/featured
https://www.youtube.com/watch?v=itZkkgraxRU
PRACTICE
https://prog-8.com/html/study/1/9#/27
https://www.datacamp.com/users/sign_in?redirect=https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-1-python-basics?ex=1
https://paiza.jp/challenges/practice
WORD2VEC
https://fisproject.jp/2014/10/word2vec/
https://qiita.com/mash0510/items/347964f3eb2e080ea7a4
http://tkengo.github.io/blog/2016/05/09/understand-how-to-learn-word2vec/
http://vectors.nlpl.eu/repository/
https://www.google.com/search?q=word2vec&sxsrf=ACYBGNSY5q0mLuIm5aJ0sQzxuvYscV8EEQ:1572471164792&source=lnms&tbm=isch&sa=X&ved=0ahUKEwjfr8nJ98TlAhWIHKYKHcw4Cw0Q_AUIEigB&biw=958&bih=952#imgrc=fB5vjkT75emzgM:
https://marunouchi-tech.i-studio.co.jp/3705/
https://code.google.com/archive/p/word2vec/
http://saiyu.cocolog-nifty.com/zug/2014/02/word2vec-1867.html
解析クラスタいろいろ
https://hackmd.io/@regonn/SJuOgoFN7?type=view
https://blog.brains-tech.co.jp/entry/tslearn-time-series-clustering
https://www.trunktools.jp/services/analysis/cluster.html
https://qiita.com/suecharo/items/20bad5f0bb2079257568
https://deepage.net/features/pandas-readcsv-light.html#%E8%AA%AD%E3%81%BF%E8%BE%BC%E3%81%BF%E6%96%B9
https://own-search-and-study.xyz/2015/09/03/pandas%E3%81%AEread_csv%E3%81%AE%E5%85%A8%E5%BC%95%E6%95%B0%E3%82%92%E4%BD%BF%E3%81%84%E3%81%93%E3%81%AA%E3%81%99/#sep_or_delimiter
https://teratail.com/questions/51362
https://mjin.doshisha.ac.jp/MTMineR/html/unsupervised.html
http://delta0726.web.fc2.com/science/cluster.html#%E6%BA%96%E5%82%99
http://kamonohashiperry.com/archives/author/kamonohashi/page/2
https://www.google.com/search?biw=1920&bih=969&tbm=isch&sxsrf=ACYBGNTsClE9v32hekrB_dlYWpJxYGIE8w%3A1572315144815&sa=1&ei=CKC3XfGqMYf1wAOQt52oDw&q=%E3%83%87%E3%83%B3%E3%83%89%E3%83%AD%E3%82%B0%E3%83%A9%E3%83%A0%E3%80%80SciPy%E3%80%80%E3%83%A9%E3%83%99%E3%83%AB&oq=%E3%83%87%E3%83%B3%E3%83%89%E3%83%AD%E3%82%B0%E3%83%A9%E3%83%A0%E3%80%80SciPy%E3%80%80%E3%83%A9%E3%83%99%E3%83%AB&gs_l=img.3...9776472.9776472..9776661...0.0..0.116.116.0j1......0....2j1..gws-wiz-img.TjA2__UCIZY&ved=0ahUKEwjxzrmtssDlAhWHOnAKHZBbB_UQ4dUDCAc&uact=5#imgrc=L7HAjLp9BiNSYM:
https://joernhees.de/blog/2015/08/26/scipy-hierarchical-clustering-and-dendrogram-tutorial/
https://note.nkmk.me/python-pandas-set-index/
https://python-graph-gallery.com/401-customised-dendrogram/
https://analysis-navi.com/?p=1884
https://www.albert2005.co.jp/knowledge/data_mining/cluster/non-hierarchical_clustering
https://products.sint.co.jp/aisia/blog/vol1-15
https://devblog.thebase.in/entry/2018/12/20/110000
次元削減ランダムフォレスト
https://qiita.com/Hatomugi/items/d6c8bb1a049d3a84feaa
https://data-science.gr.jp/implementation/iml_sklearn_random_forest.html
https://www.sejuku.net/blog/64455
https://qiita.com/koichi_hiphopdream/items/f01d195cdc34acb5f879
https://www.haya-programming.com/entry/2018/01/25/075927
http://overlap.hatenablog.jp/entry/2015/10/08/022246
https://www.randpy.tokyo/entry/python_random_forest
JUPYTERNOYEBOOK
https://difff.jp/
https://mathwords.net/randomforest
https://blog.amedama.jp/entry/2017/03/19/160121
http://localhost:8889/notebooks/%E8%A1%8C%E5%8B%95%E8%AA%8D%E8%AD%98/PRACTICE_CRASRALING.ipynb
http://localhost:8889/notebooks/%E8%A1%8C%E5%8B%95%E8%AA%8D%E8%AD%98/RANDOMFOREST-test.ipynb#
what is word2vec
https://qiita.com/sho-matsuo/items/cd7f2b66e572bf60048b
https://joernhees.de/blog/2015/08/26/scipy-hierarchical-clustering-and-dendrogram-tutorial/
https://qiita.com/mshinoda88/items/0e54e7e03e1aa52edb5b
https://qiita.com/maskot1977/items/4db7976a987a057ad3ba
https://note.nkmk.me/python-pandas-len-shape-size/
https://ohke.hateblo.jp/entry/2017/08/11/230000
https://medium.com/eureka-engineering/pairs-word2vec-157102bcfa05
https://blog.amedama.jp/entry/2017/04/02/130530
https://qiita.com/maskot1977/items/082557fcda78c4cdb41f
https://qiita.com/kenmatsu4/items/c61ce5d85667f499c3c8
https://yoshipc.net/python-word2vec/
https://www.google.com/search?sxsrf=ACYBGNQS2YYo7mX7RzFEIWigk4kGstp8FQ%3A1571833138945&ei=MkWwXdWVObyLr7wPh-2n4Ag&q=%E6%AC%A1%E5%85%83%E5%89%8A%E6%B8%9B+%E5%8D%98%E8%AA%9E%E3%83%99%E3%82%AF%E3%83%88%E3%83%AB&oq=%E6%AC%A1%E5%85%83%E5%89%8A%E6%B8%9B+%E5%8D%98%E8%AA%9E%E3%83%99%E3%82%AF%E3%83%88%E3%83%AB&gs_l=psy-ab.3...11483.18526..18983...5.0..0.102.1701.17j2......0....1..gws-wiz.......35i39j0i7i30j0i67j0j0i4j0i4i30j0i8i4i30j33i160.IScM0U2Hqgg&ved=0ahUKEwjV9pHfrrLlAhW8xYsBHYf2CYwQ4dUDCAs&uact=5
https://qiita.com/aya_taka/items/4d3996b3f15aa712a54f
https://qiita.com/567000/items/d8a29bb7404f68d90dd4
https://note.nkmk.me/python-pandas-shift/
https://note.nkmk.me/python-pandas-assign-append/
中間
https://search.ieice.org/bin/summary.php?id=j96-d_5_1267
https://db-event.jpn.org/deim2012/proceedings/final-pdf/d9-4.pdf
クラスタリング分析手法
http://tpuwww.pu-toyama.ac.jp/CC/MATLAB/tyuui.pdf
https://jp.mathworks.com/academia/tah-portal/toyama-prefectural-university-40564803.html
https://www.imagazine.co.jp/%E5%88%86%E6%9E%90%E3%83%84%E3%83%BC%E3%83%AB%E6%AF%94%E8%BC%83-%EF%BD%9E-matlab-r-python-spss%E5%AE%9F%E6%A9%9F%E6%A4%9C%E8%A8%BC/
https://www.haya-programming.com/entry/2018/04/07/161249
http://gaya.jp/spiking_neuron/som.htm
http://vectors.nlpl.eu/repository/
https://hackmd.io/PKQmd5IrROOb636mXywYew?view
http://hytae.hatenablog.com/entry/2015/05/15/Mikolov%E3%81%AEword2vec%E8%AB%96%E6%96%873%E6%9C%AC%E3%81%BE%E3%81%A8%E3%82%81