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There have been many examples of useful and exciting data visualizations for a variety of topics and applications. In [1]: from IPython.display import IFrame, HTML from IPython.core.display import display display(IFrame(“http://demographics.coopercenter.org/DotMap/index.html”, ‘800px’, ‘600px’)) In [2]: display(IFrame(“http://www.nytimes.com/interactive/2014/07/31/world/africa/ebola-virus-outbreak-qa.html”, ‘800px’, ‘600px’)) Most of these invlove directly coding JavaScript. Not everyone enjoys writing JavaScript. In [53]: ar.contours(plot, title=”ISO Contours”) show() In [1]: from IPython.core.display… Continue reading Creating Interactive Visualizations with Bokeh

In [1]: import pymc as pm, numpy as np, matplotlib.pyplot as plt, seaborn as sns %matplotlib inline Stack Overflow http://stats.stackexchange.com/questions/105557/stochastic-programming-e-g-lp-with-mcmc While I understand that there are far superior methods for solving LP problems (e.g. interior point algorithms), can MCMC be used to solve a stochastic LP problem? PyMC2 can be combined with the LP solver of… Continue reading PyMC for Linear Programming

source Similar Notebooks imdbscraper step 5 dataprep and eda model movies 3 imdbscraper step3 tugas 1 review book recommender system 6 dataprep validationdataset checkpoint Copyright © Code Fetcher 2022 Part 1: Data Cleaning, Feature Engineering, EDA I have my post content, now I need to inspect it and clean it up if necessary. 0. Imports… Continue reading Project 3

Similar Notebooks introducci c3 b3n a programaci c3 b3n an c3 a1lisis exploratorio de datos precios vivienda 9 1 web scraping 8 cadenas 4 funciones an c3 a1lisis exploratorio de datos precios vivienda checkpoint intro 6 diccionarios y conjuntos 11 recursi c3 b3n iteraci c3 b3n busqueda y ordenamiento 13 aprendizaje de m c3 a1quina… Continue reading 1.- Intro e Instalación de Python

using vis.py ipython notebook version: https://gist.github.com/chezou/3899461aa550f73854a1 original vis.py https://github.com/nishio/mycorpus In [1]: import visword2vec # 単語で作ったモデル vis = visword2vec.visWord2Vec(“recipe_steps.bin”) # フレーズで作ったモデル vis_phrase = visword2vec.visWord2Vec(“recipe_steps-phrase.bin”) loading loaded loading loaded In [2]: def plot_both(word): vis.plot(word) vis_phrase.plot(word) In [3]: plot_both(‘チョコ’) [ 0.21099427 0.11427726] [ 0.19734898 0.13841781] In [4]: vis_phrase.plot(‘義理_チョコ’) [ 0.16700684 0.1221358 ] In [5]: plot_both(‘義理’) [ 0.17986007 0.14094272] [ 0.248188 0.16636363] In [6]: plot_both(‘あつあつ’)… Continue reading word2vec visualization