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datasist is a python package providing fast, quick, and an abstracted interface to popular and frequently used functions or techniques relating to data analysis, visualization, data exploration, feature engineering, Computer, NLP, Deep Learning, modeling, model deployment etc.

pip install datasist

• Numpy
• pandas
• seaborn
• matplotlib
• scikit-learn

To install datasist from source you need python 3.6> in addition to the normal dependencies above.

Run the following command in a terminal/command prompt

git clone https://github.com/risenW/datasist.git
cd datasist
python setup.py install

Alternatively, you can use install with pip after cloning, if you want all the dependencies pulled in automatically (the -e option is for installing it in [development mode]:

git clone https://github.com/risenW/datasist.git
cd datasist
pip install -e .

API documentation can be found here

All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.

A detailed overview on how to contribute can be found in the contributing guide.

If you are simply looking to start working with the datasist codebase, navigate to the GitHub "issues"tab and start looking through interesting issues. There are a number of issues listed under good first issue where you could start out.

Classification problem using Xente fraud dataset

Basic example using the Iris dataset