├── README.md <- The top-level README for developers using this project
│
├── LICENSE <- Document containing the GNU General Public License
|
├── Maximizing Clicks.pdf <- Document outlining the idea and implementation of a clicks-
│ maximizing ad-bidding procedure for a UK-based programmatic
│ advertising firm
|
├── clicks_maximizer.ipynb <- Jupyter notebook containing the implementation of the
| outlined algorithm together with some statistics and figures
| summarizing the resulting optimal bids
│
├── requirements.txt <- The requirements file for reproducing the analysis environment
pip install -r requirements.txt
This repository shows work done by me for a programmatic advertising firm during Pivigo's Science to Data Science bootcamp (S2DS; https://www.s2ds.org/) in March and April 2022. S2DS aims to offer young academics experience as data scientists in a business context.
The names of the advertising firm (who is also the copyright holder), the advertiser, and the product, as well as the place where the campaign was run are kept anonymous.
Martin Wiegand, 29.04.2022
Program to find clicks-maximizing bids for a programmatic advertising firm.
Copyright (C) 2022 Anonymous
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.