Programming is an integral part of data science. Among other things, it is considered that a mind which understands programming logic, loops, and functions has higher chances of becoming a successful data scientist. So, what about people who never studied programming subject in their school or college ?
The list of tools
- RapidMiner (RM)
RM covers the entire life-cycle of prediction modeling, starting from data preparation to model building and finally validation and deployment.
- DataRobot (DR)
DataRobot (DR) is a highly automated machine-learning platform built by all time best Kagglers including Jeremy Achin, Thoman DeGodoy and Owen Zhang.
- BigML
BigML is another platform with ~Mn USD in funding. It provides a good GUI which takes the user through 6 steps.
- Google Cloud Prediction API
The Google Cloud Prediction API offers RESTful APIs for building machine learning models for android applications.
- Paxata
Paxata is one of the few organizations which focus on data cleaning and preparation, NOT the machine learning or statistical modeling part.
- Trifacta
Trifacta is another startup focused on data preparation.It has 2 products offering:
- Wrangler – a free stand-alone software
- Wrangler Enterprise – licensed professional version
- Narrative Science
Narrative Science is based on a unique idea in the sense that it generates automated reports using data.
- MLBase
MLBase is an open-source project developed by AMP (Algorithms Machines People) Lab at University of California, Berkeley.
- WEKA
Weka is a data mining software written in Java, developed at the Machine Learning Group at University of Waikato, New Zealand. - Automatic Statistician
Automatic Statistician is not a product per se but a research organization which is creating a data exploration and analysis tool.
Please note: This article is for information purposes only and Data Futures Hub does not endorse any specific program or company.