Explore Layer during this challenge! Layer will help you track and test your experiments.

Layer will be hosting another challenge soon on Zindi so get your head in the game now!

Create an account for free and get 30 GPU hours per week and unlimited CPU hours.

Layer helps you build, train and track all your machine learning project metadata including ML models and datasets‍ with semantic versioning, extensive artifact logging and dynamic reporting with local↔cloud training.

First, install that you have the latest version of Layer installed:

pip install -U layer

The competition has 5 CSV files that can be fetched as Pandas DataFrames from Layer.

Fetch sample submission file

import layer

sample_submission = layer.get_dataset("layer/Zindi-Laduma-Analytics/datasets/sample-submission").to_pandas()
sample_submission.head()

Fetch training files

import layer

train = layer.get_dataset("layer/Zindi-Laduma-Analytics/datasets/train").to_pandas()
train.head()


train_game_statistics = layer.get_dataset("layer/Zindi-Laduma-Analytics/datasets/train_game_statistics").to_pandas()
train_game_statistics.head()

Fetch test files

import layer

test = layer.get_dataset("layer/Zindi-Laduma-Analytics/datasets/test").to_pandas()
test.head()


test_game_statistics = layer.get_dataset("layer/Zindi-Laduma-Analytics/datasets/test_game_statistics").to_pandas()
test_game_statistics.head()