Randy Olson rhiever

## bom-scraper.py
import urllib2
import time
import os

# Make a directory to store all of the HTML pages
os.system("mkdir pages")

# Download the raw HTML of all pages
for year in range(1982, 2015):
    for week in range(1, 53):

## predict-gender-from-trivia-performance.ipynb

      
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                rhiever
                / predict-gender-from-trivia-performance.ipynb
            
            
              Created
              July 31, 2015 01:57
            
              
                This notebook uses a random forest classifier to predict a player's gender based on their trivia question performance.
              
          
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## Rmagic demo
{
 "metadata": {
  "name": "Introduction to Linear Models"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

## scikit-learn-feature-order-bug.ipynb

      
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                rhiever
                / scikit-learn-feature-order-bug.ipynb
            
            
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              October 13, 2015 18:23
            
          
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## Extracting the multiscale backbone of complex weighted networks.ipynb

      
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                rhiever
                / Extracting the multiscale backbone of complex weighted networks.ipynb
            
            
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              December 27, 2015 01:09
            
              
                Extracting the multiscale backbone of complex weighted networks
              
          
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## Avida data munging.ipynb

      
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                rhiever
                / Avida data munging.ipynb
            
            
              Created
              November 10, 2013 18:23
            
              
                Avida data munging in Python
              
          
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## Saving data to a text file in Python.ipynb

      
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                rhiever
                / Saving data to a text file in Python.ipynb
            
            
              Created
              November 16, 2013 04:46
            
              
                Saving data to a text file in Python
              
          
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## 95% confidence intervals.ipynb

      
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                rhiever
                / 95% confidence intervals.ipynb
            
            
              Created
              November 16, 2013 06:30
            
              
                95% confidence intervals.ipynb
              
          
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## TSStickleback.py
from numpy.random import normal

class TSStickleback:
    def __init__(self):
        self.redness = normal(3, 2)

## reddit interest correlations.ipynb

      
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                rhiever
                / reddit interest correlations.ipynb
            
            
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              December 28, 2015 14:29
            
              
                reddit interest correlations.ipynb
              
          
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	import urllib2
	import time
	import os

	# Make a directory to store all of the HTML pages
	os.system("mkdir pages")

	# Download the raw HTML of all pages
	for year in range(1982, 2015):
	for week in range(1, 53):
	{
	"metadata": {
	"name": "Introduction to Linear Models"
	},
	"nbformat": 3,
	"nbformat_minor": 0,
	"worksheets": [
	{
	"cells": [
	{
	from numpy.random import normal

	class TSStickleback:
	def __init__(self):
	self.redness = normal(3, 2)