Data Science Toolkit

Data Science Toolkit (DST) is a Python library that helps implement data science related project with ease.

Simple Demo

from data_science_toolkit.dataframe import DataFrame
from data_science_toolkit.model import Model

data = DataFrame()
data.load_dataset('iris')
y = data.get_column('target')
data.drop_column('target')

# decision tree model
model = Model(data_x=data.get_dataframe(), data_y=y, model_type='dt', training_percent=0.8)

# train the model
model.train()

# get all classification evaluation metrics
model.report()

#get the cross validation
model.cross_validation(5)

Documentation

More information can be found on the DST documentation site.

Contributing

Contrubution and suggestions are welcome via GitHub Pull Requests.

Maintainership

We're actively enhacing the repo with new algorithms.

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