https://github.com/andersy005/kaggle-talkingdata-adtracking-fraud-detection

TalkingData AdTracking Fraud Detection Challenge
https://github.com/andersy005/kaggle-talkingdata-adtracking-fraud-detection

Last synced: 8 months ago
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TalkingData AdTracking Fraud Detection Challenge

• Host: GitHub
• URL: https://github.com/andersy005/kaggle-talkingdata-adtracking-fraud-detection
• Owner: andersy005
• License: mit
• Created: 2018-03-08T01:15:01.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2018-04-06T05:20:30.000Z (about 8 years ago)
• Last Synced: 2025-10-05T22:47:34.492Z (8 months ago)
• Language: Jupyter Notebook
• Size: 5.52 MB
• Stars: 2
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# [Kaggle-TalkingData AdTracking Fraud Detection Challenge](https://www.kaggle.com/c/talkingdata-adtracking-fraud-detection#description)

Can you detect fraudulent click traffic for mobile app ads?

## Objective

For this competition, our objective is to predict whether a user will download an app after clicking a mobile 

app advertisement.

## [Data](https://www.kaggle.com/c/talkingdata-adtracking-fraud-detection/data)

- `train.csv`:                      7537.65MB of the training set

- `test.csv`:                       863.27MB of the test set

- `sample_submission.csv`:         195.58MB

- `train_sample.csv`:               4.08MB

## [Notebook](http://nbviewer.jupyter.org/github/andersy005/kaggle-talkingdata-adtracking-fraud-detection/blob/master/kaggle-dask-gce.ipynb)