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jmahabal / .block
Last active October 18, 2016 05:56
Happy Pride
license: mit
height: 600
jmahabal / .block
Last active September 23, 2017 21:01
It's been a good 17 years for Californians who kind-of-don't-really care about sports
license: mit
height: 1000
scrolling: no
jmahabal / grancairo.jpg
Last active January 18, 2017 07:56
Frank Stella - Gran Cairo in d3.js
jmahabal / index.html
Last active January 18, 2017 17:29
Frank Stella - Marrakech in d3.js
<!Doctype HTML>
<!-- <script src="d3.js"></script> -->
<script src=""></script>
.triangle {
jmahabal /
Last active February 10, 2017 23:00
Visual explanation of the importance of examining your data before trying to predict / run an algorithm.

Visual explanation of the importance of examining your data before trying to predict / run an algorithm.

@JayMahabal / @H2Oai

Forked from 1wheel's block: you-draw-it

jmahabal / Data Cleaner.ipynb
Last active April 27, 2017 07:07
NBA Margin of Victory
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from sklearn.externals import joblib
import tweepy
import json
def predict(tweet_text):
# Load our model and vectorizer
clf = joblib.load('model.pkl')
vectorizer = joblib.load('vectorizer.pkl')
# Make the retweet count prediction after vectorizing the tweet
/* Setting things up. */
var path = require('path'),
express = require('express'),
app = express(),
Twit = require('twit'),
config = {
/* Be sure to update the .env file with your API keys. */
twitter: {
consumer_key: process.env.CONSUMER_KEY,
consumer_secret: process.env.CONSUMER_SECRET,
jmahabal / .block
Last active August 31, 2017 23:53
license: mit
We can make this file beautiful and searchable if this error is corrected: It looks like row 8 should actually have 30 columns, instead of 20. in line 7.
1,Alex Abrines\abrinal01,SG,24,OKC,15,0,17.1,1.6,4.0,.400,0.9,2.7,.341,0.7,1.3,.526,.517,0.5,0.6,.778,0.5,1.2,1.7,0.3,0.5,0.1,0.5,2.0,4.6
2,Quincy Acy\acyqu01,PF,27,BRK,13,0,18.1,1.5,4.6,.333,1.3,3.8,.347,0.2,0.8,.273,.475,0.9,1.2,.800,0.6,3.5,4.2,0.8,0.4,0.2,1.1,2.5,5.3
3,Steven Adams\adamsst01,C,24,OKC,12,12,31.0,5.3,8.1,.660,0.0,0.0,,5.3,8.1,.660,.660,1.9,2.7,.719,4.2,4.2,8.3,1.1,1.4,1.3,1.7,2.3,12.6
4,Bam Adebayo\adebaba01,C,20,MIA,10,3,12.3,1.3,2.6,.500,0.0,0.0,,1.3,2.6,.500,.500,0.9,1.3,.692,1.4,2.2,3.6,0.0,0.4,0.4,0.5,1.3,3.5
5,Arron Afflalo\afflaar01,SG,32,ORL,11,0,10.5,0.5,2.1,.261,0.2,1.1,.167,0.4,1.0,.364,.304,0.5,0.6,.714,0.1,1.5,1.6,0.8,0.1,0.1,0.3,0.6,1.7
6,Cole Aldrich\aldrico01,C,29,MIN,4,0,2.3,0.0,0.5,.000,0.0,0.0,,0.0,0.5,.000,.000,0.3,0.5,.500,0.0,0.3,0.3,0.3,0.3,0.0,0.0,0.5,0.3
7,LaMarcus Aldridge\aldrila01,PF,32,SAS,16,16,32.8,8.4,16.8,.502,0.6,1.6,.346,7.9,15.2,.519,.519,4.8,