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Model that predicts users’ demographic characteristics based on their app usage, geolocation, and mobile device properties.

License: MIT License

Makefile 0.11% Jupyter Notebook 99.75% Python 0.14%

talkingdata's Introduction

Talking Data Mobile User Demographics

Predict user demographic from mobile app events, geolocation, and mobile device properties.

Project Organization

├── LICENSE
├── Makefile           <- Makefile with commands like `make data` or `make train`
├── README.md          <- The top-level README for developers using this project.
├── data
│   ├── external       <- Data from third party sources.
│   ├── interim        <- Intermediate data that has been transformed.
│   ├── processed      <- The final, canonical data sets for modeling.
│   └── raw            <- The original, immutable data dump.
│
├── models             <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks          <- Jupyter notebooks. 
│
├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
│                         generated with `pip freeze > requirements.txt`

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