Data Preprocessing Simplified Using Sparx

CleverInsight
Jul 25, 2017 · 1 min read

Recent years we can see boom in Machine Learning and Deep Learning Startups. Most of them are niche specific solution providers and some are generalized solution providers, either as SAAS, PAAS, MAAS. But there is one common enemy for any ML or DL process. Handling unstructured data.

We spend a huge amount of time in data preprocessing which is really an most important part of our research. So this weekend we decided to come up with an initiative to build an open source python modules to perform majority of our data wrangling and preprocessing. We named it as #Sparx

Sparx — Data Wrangling and Preprocessing Simplified.

Sparx is an exclusive data wrangling and preprocessing library which involves transforming raw data into an machine understandable format. We at CleverInsight Lab took the initiative to build a better automated data preprocessing library and here it is.

We are looking for more open source contributors to join sparx team and start making sparx as an ultimate solution for Data Preprocessing and Wrangling.

GitHub: https://github.com/cleverinsight/sparx

Issues: https://github.com/cleverinsight/sparx/issues

Docs: https://sparx.readthedocs.io

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