universityhack2018 0.7.0

Package for Data Rhapsody's UniversityHack 2018 Challenge solution.

Data Rhapsody UniversityHack2018

Package for Data Rhapsody’s UniversityHack 2018 Challenge solution.

• Free software: MIT license

• Documentation: https://universityhack2018.readthedocs.io.

Usage

Install:

pip install universityhack2018

Example (easy peasy):

from universityhack2018.prediction import Model
import pandas as pd

clients_df = pd.read_csv('/path/to/Dataset_Salesforce_Predictive_Modelling_TEST.txt')
clients = client_df_train.iloc[0:5, :]

model = Model(clients)
predictions = model.predict(as_df=True)

print(predictions.head())

# Output:
#   ID_Customer        PA_Est
# 0    TE000001  26926.541016
# 1    TE000002  15267.800781
# 2    TE000003  19499.935547
# 3    TE000004  12799.532227
# 4    TE000005  11262.253906

Features

• TODO

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2018-03-11)

• First release on PyPI.