Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
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import os | |
import re | |
from nbconvert.nbconvertapp import NbConvertApp | |
from nbconvert.postprocessors.base import PostProcessorBase | |
class CopyToSubfolderPostProcessor(PostProcessorBase): | |
def __init__(self, subfolder=None): | |
self.subfolder = subfolder |
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#!/usr/bin/python | |
# -*- coding: utf8 -*- | |
# SAMPLE SUBMISSION TO THE BIG DATA HACKATHON 13-14 April 2013 'Influencers in a Social Network' | |
# .... more info on Kaggle and links to go here | |
# | |
# written by Ferenc Huszár, PeerIndex | |
from sklearn import linear_model | |
from sklearn.metrics import auc_score |