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Making data science and machine learning in Python easier.

Project description

===========
sciblox
===========

**sciblox** was designed to make data science and machine learning **easier**.
It features similar modules to R's CARET, and draws inspiration from
many other packages.

To use it::

#!/usr/bin/env python

from sciblox import *
%matplotlib notebook


What's included?
=========

1. CARET like preprocessing (scaling, normalising, dummify, outlier removal, unskew, etc)

2. Processor modules - you can fit onto testing data!

3. LightGBM and RandomForest support - later will add more

4. More analysis methods: outlier detection, skewness methods, auto unskewing etc

5. 3D automatic plots in NEW cool analyse function!

6. BPCA, MICE, KNN, Boosting, Forest, SVD imputation

7. Easy sequential text mining and automatic text mining

8. Jupyter Notebooks integrated


What's in construction?
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1. More machine learning libraries - Extra Trees, Neural Networks, SVM etc

2. Advanced data and text mining

3. CV, Auto machine learning

4. Multiprocessing support


Demonstration
=========

If you want to see sciblox in action, please visit
<https://danielhanchen.github.io/>`_.

GITHUB: <https://github.com/danielhanchen/sciblox>`_.

Project details


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Files for sciblox, version 0.2.1
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