Slater Stich sl8r000

## churn.ipynb

      
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                sl8r000
                / churn.ipynb
            
            
              Created
              May 8, 2016 00:19
            
          
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## exits.ipynb

      
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              3 stars
            
          
                sl8r000
                / exits.ipynb
            
            
              Last active
              May 9, 2016 17:38
            
              
                Exit Scenarios
              
          
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## seaborn.ipynb

      
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                sl8r000
                / seaborn.ipynb
            
            
              Created
              September 24, 2015 21:22
            
          
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## blah.ipynb

      
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                sl8r000
                / blah.ipynb
            
            
              Created
              September 20, 2015 02:35
            
          
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## gist:02423475fa7df6568954
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {

## live_run.ipynb

      
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                sl8r000
                / live_run.ipynb
            
            
              Created
              May 13, 2015 16:42
            
              
                Insight Example
              
          
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## insight_example.html
<!DOCTYPE html>
<html>
<head>

<meta charset="utf-8" />
<title>Insight Example</title>

<script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>

## insight_example.ipynb

      
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                sl8r000
                / insight_example.ipynb
            
            
              Created
              April 20, 2015 01:36
            
          
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## cbapi.ipynb

      
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                sl8r000
                / cbapi.ipynb
            
            
              Created
              June 10, 2013 05:30
            
              
                crunchbase API client 
              
          
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## knn.py
class KNN(object):
    POSSIBLE_K_VALUES = [k for k in range(1,9) if k%2 == 1]
    def __init__(self, k=None, weights=None):
        self._known_rows = []
        self.k = None
        self.weights = None

    def learn_from_row(self, row):
        self._known_rows.append(row)
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 154,
	"metadata": {
	"collapsed": false
	},
	"outputs": [
	{
	<!DOCTYPE html>
	<html>
	<head>

	<meta charset="utf-8" />
	<title>Insight Example</title>

	<script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>
	class KNN(object):
	POSSIBLE_K_VALUES = [k for k in range(1,9) if k%2 == 1]
	def __init__(self, k=None, weights=None):
	self._known_rows = []
	self.k = None
	self.weights = None

	def learn_from_row(self, row):
	self._known_rows.append(row)