rocket-internet-berlin / mathemads-nexusadspyLinks
Thin wrapper on top of the AppNexus API.
☆12Updated 7 years ago
Alternatives and similar repositories for mathemads-nexusadspy
Users that are interested in mathemads-nexusadspy are comparing it to the libraries listed below
Sorting:
- Library that converts bidding trees to the AppNexus Bonsai language.☆20Updated 6 years ago
- ☆160Updated 8 years ago
- A framework of statistical arbitrage mining in performance-driven display advertising.☆70Updated 10 years ago
- Implicit matrix factorization as outlined in http://yifanhu.net/PUB/cf.pdf.☆282Updated 9 years ago
- Real Time Bidding Algorithm Implementation☆39Updated 11 years ago
- Open-source Python library for statistical analysis of randomised control trials (A/B tests)☆342Updated 2 years ago
- A new version of phraug, which is a set of simple Python scripts for pre-processing large files☆207Updated 7 years ago
- Java implementation of Thompson sampling to solve the multi-armed bandit problem☆30Updated 2 years ago
- A benchmarking framework supporting the experiments in KDD'14 paper "Optimal Real-Time Bidding for Display Advertising"☆105Updated 11 years ago
- Java implementation of the Microsoft's AdPredictor algorithm☆17Updated 7 years ago
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆183Updated 2 years ago
- Kaggle Criteo https://www.kaggle.com/c/criteo-display-ad-challenge☆97Updated 11 years ago
- Criteo/Kaggle Competition of CTR prediction☆130Updated 11 years ago
- Finding customer lookalikes using Machine Learning in PySpark☆33Updated 7 years ago
- A simple implementation of Microsoft's AdPredictor (http://bit.ly/SFgcq8) in Python☆92Updated 12 years ago
- Public Kaggle Code and Info☆43Updated 10 years ago
- Allstate Purchase Prediction Challenge on Kaggle☆58Updated 11 years ago
- A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support☆261Updated 8 years ago
- Cleaned code of the winning submission of the Kaggle Recruiting Competition☆124Updated 6 years ago
- FluRS: A Python library for streaming recommendation algorithms☆109Updated 3 years ago
- Reproduce the experiments published in "Predicting Winning Price in Real Time Bidding with Censored Data"☆41Updated 7 years ago
- Just some of my kaggle scripts☆87Updated 10 years ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆68Updated 11 years ago
- Logistic Matrix Factorization for Implicit Feedback Data. http://stanford.edu/~rezab/nips2014workshop/submits/logmat.pdf☆160Updated 10 years ago
- Rudimentary Bayesian Beta-Bernoulli A/B testing inference and visualization code.☆64Updated 11 years ago
- A multi-armed bandit library for Python☆82Updated 5 years ago
- Set of Machine Learning and Stochastic Optimazion tools based on Hadoop, Spark and Storm https://pkghosh.wordpress.com/☆177Updated last year
- Avazu Kaggle competition☆15Updated 10 years ago
- This repository contains materials for demos, tutorials, and talks by Dato Inc.☆172Updated 9 years ago
- ☆77Updated 9 years ago