scicheat 0.2

A package to help gain quick insights into a new dataset

Sci-Cheat

Basic analytics for working with a new dataset

Notes

• See examples folder for demo of functionality
• Very much a work in progress!
• Works best in a Jupyter Notebook environment

Installation

git clone https://github.com/andrewjkuo/scicheat.git
python setup.py install

Usage

• Import the PrimaryAnalysis class
• Load in a pandas dataframe and specify the target variable
• You can run specific methods or just use run_all()

from scicheat.dataloader import PrimaryAnalysis

pa = PrimaryAnalysis(df=df, target='y_col')
pa.run_all()

To Do

• Error handling
• Deal with NAs intelligently
• Deal with dates intelligently
• Data normalisation
• Optionally limit rows for speed
• Hyperparameter tuning
• Unsupervised analysis