Data Science, Analytics & Modelling

Bys: Jayasudha a. R., Nirmala M., John, Princess Maria, P, Privietha

The book discusses the concepts of machine learning with respect to supervised and unsupervised algorithms. Every topic has been discussed with an example case study. The concept of data modelling with respect to various methods were discussed with examples. The introduction on NOSQL is also added as the feather to the cap, its installation process in Cloud Environment and execution of Mongo DB commands were discussed.The concept of Distributed file storage, Overview of Hadoop and its architecture, role of name node and data node in HDFS systems were discussed. The basics installation procedure Hadoop in Windows was explained in a step by step manner with appropriate snapshots and coding. The role of Map reduce algorithms and Hbase architecture were discussed.This book is prepared for easy understanding of the learners about the basic concepts of data science and analytics.

• Format: Paperback
• Language: English
• ISBN: 6206145107
• ISBN13: 9786206145103
• Release Date: March 2023
• Publisher: LAP Lambert Academic Publishing
• Length: 336 Pages
• Weight: 1.09 lbs.
• Dimensions: 0.8" x 6.0" x 9.0"