Data Science

This blog contains two different tools , Neo4j and Gephi tool for data visualization in graphical form . Neo4j Neo4j delivers the lightning-fast read and write performance you need, while still protecting your data integrity. It is the only enterprise-strength graph database that combines native graph storage, scalable architecture optimized for speed, and ACID compliance to ensure the predictability of relationship-based queries. In simple words, Neo4j is the MySQL of the graph databases. It provides a graph database management system, a language to query the database, a.k.a CYPHER, and a visual interface with the neo4j browser. Advantages of Neo4j Following are the advantages of Neo4j. Flexible data model − Neo4j provides a flexible simple and yet powerful data model, which can be easily changed according to the applications and industries. Real-time insights − Neo4j provides results based on real-time data. High availability − Neo4j is highly available for large enterprise real-time...

A guide to data preprocessing using Orange and how to use Python in Orange. This blog will help you understand how to perform Data pre-processing using Orange, use the Orange library in Python, and integrate Python Scripts in Orange. What is Data Preprocessing? When we talk about data, we usually think of some large datasets with a huge number of rows and columns. While that is a likely scenario, it is not always the case — data could be in so many different forms: Structured Tables, Images, Audio files, Videos, etc.. Machines don’t understand free text, image, or video data as it is, they understand 1s and 0s. So it probably won’t be good enough if we put on a slideshow of all our images and expect our machine learning model to get trained just by that! In any Machine Learning process, Data Preprocessing is that step in which the data gets transformed, or Encoded, to bring it to such a state that now the machine can easily parse it. In other words, the features of the data can now be ...