Bastin Robin BastinRobin

Statistics:

https://statweb.stanford.edu/~tibs/ElemStatLearn/printings/ESLII_print10.pdf
http://greenteapress.com/thinkstats/

https://www.coursera.org/learn/machine-learning/home/welcome

	APP_NAME='Pranah \| Worlds No.1 AYUSH Network'
	APP_ENV=production
	APP_KEY=base64:MTvfSQxIUaSQ0WpMztUJiS8PQWNnuKeOG/TqD4MuNpk=
	APP_DEBUG=true
	APP_LOG_LEVEL=debug
	APP_URL=http://localhost

	DB_CONNECTION=pgsql
	DB_HOST=ec2-23-21-231-58.compute-1.amazonaws.com
	DB_PORT=5432

	""" Simple Array Flatten """
	import collections

	A = [[1, 2, [3]], 4]

	def flatten(elements):
	""" Return a list with all elements from sub list
	Parameter:
	----------
	elements: list

	from __future__ import division
	import numpy as np
	''' Spearman Correlation '''
	x = [73, 76, 78, 65, 86, 82, 91]
	y = [77, 78, 79, 80, 86, 89, 95]


	col = [list(a) for a in zip(x, y)]
	xy = sorted(col, key=lambda x: x[0], reverse=True)
	for i, row in enumerate(xy):

	a = [ {name:'robin', ranking:10 }, { name: 'sam', ranking: 40 }, { name: 'binu', ranking: 12 } ];

	// Using function
	function sort_by_key(array, key) {
	return array.sort(function(a, b) {
	var x = a[key]; var y = b[key];
	return ((x < y) ? -1 : ((x > y) ? 1 : 0));
	});
	}

	Statistics:
	https://statweb.stanford.edu/~tibs/ElemStatLearn/printings/ESLII_print10.pdf
	http://greenteapress.com/thinkstats/

	Machine Learning
	https://www.coursera.org/learn/machine-learning/home/welcome
	http://as.wiley.com/WileyCDA/WileyTitle/productCd-111866146X.html
	http://shop.oreilly.com/product/0636920033400.do

	- Supervised

	#! /usr/bin/env python
	"""
	Author: Bastin Robin
	"""

	import os
	import logging
	from urllib import urlencode
	import datetime
	import pandas as pd