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fhuszar / Denoising-based_Variational_Bayes_Logistic_Regression.ipynb
Created January 26, 2017 14:37
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fhuszar / Amortized_Explaining_Away_Demo.ipynb
Created January 19, 2017 14:13
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fhuszar / Bayesian+linear+regression+approximate+inference+GAN.ipynb
Created January 12, 2017 14:50
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fhuszar / minibatch version of KL and JS divergences.ipynb
Created June 15, 2016 14:51
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fhuszar / IVP_growth_data.json
Last active December 21, 2015 15:49
json formatted version of data published by Techcrunch + Institutional Venture Partners http://techcrunch.com/2013/08/24/how-fast-should-you-be-growing/ https://www.dropbox.com/s/nts5i23eoy3esca/2010%20-%202013%20Internet%20and%20Software%20IPO%20Revenue%20Growth%20Analysis.pdf
[
{
"date": "08/08/13",
"YoYgrowth": [
null,
"35.1%",
"37.2%",
null
],
"ticker": "CVT",
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fhuszar / prediction_example.py
Last active June 13, 2022 06:56
This is an example solution to the London Big Data Hackathon Data Science Challenge organised by Data Sceince London on the weekend 13-14 April 2013.
#!/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