Working on Data Science Project can be overwhelming for beginners esp student that intend to carry our a research in this field.
Below are some automation tools that data science professional can use.
#DataScience #Thread
Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization
#WEKA help you discover practical data mining &learn to mine your own data
I once used WEKA to get result 'clue' for Classification of EEG signal using AIRS, Immuno, CLONALG.
Download WEKA: cs.waikato.ac.nz/ml/weka/
There are several machine learning algorithms that can be used right off the shelf, and many of these methods are implemented in the Weka package.
It considers the problem of simultaneously selecting a learning algorithm and setting its hyperparameters.
#DataScience
Download Auto-Weka: cs.ubc.ca/labs/beta/Proj…
Check: datarobot.com/platform/autom…
#DataScience #ML #AI
Developed by @SparkCognition, a company that builds AI systems to advance the most important interests.
Darwin is a tool 4solving data science problems.
It is an automated model building tool that allows its users to go from data to model faster than traditional methods
The tool uses a patented approach based on neuroevolution that custom builds model architectures to ensure the best fit for the problem at hand.
Visit @SparkCognition : sparkcognition.com/product/darwin/
@h2oai is an open source leader in AI. Its mission is to democratize AI for all
It is distributed in-memory machine learning platform with linear scalability
The platform supports most of the widely used statistical&ML algorithms
h2o.ai
Anyway, na only 3 of these tool I don use before. But I will check out the rest soon!