Big Data Analytics Made Easy – Y. Lakshmi Prasad – 1st Edition


Big Data Analytics Made Easy is a must-read for everybody as it explains the of Analytics in a simple and way along with an end to end code in R. Even if you are a novice in Big Data Analytics, you will still be able to understand the concepts explained in this . If you are already working in Analytics and dealing with Big Data, you will still find this useful, as it covers exhaustive Techniques, which are considered to be Advanced topics.

It covers Machine concepts and provides in-depth on unsupervised as well as supervised , which is very important for decision-making. The toughest Data Analytics concepts are made simpler, It features examples from all the domains so that the reader gets connected to the book easily. This book is like a personal trainer that will help you master the Art of Data .

Table of Content

  1. Preface

  2. Authors Note

  3. Acknoweldgements

  4. Introduction to Big Data Analytics

  5. Getting started with

  6. Data Exploration

  7. Data Preparation

  8. Statistical Thinking

  9. Market Basket Analysis

  10. Kernel Density Estimation

  11. Regression

  12. Logistic Regression

  13. Decision Trees

  14. KNearest Neighbor Classification

  15. Bayesian Classifiers

  16. Neural Networks

  17. Introduction to Machine Learning

  18. Dimensionality Reduction

  19. Clustering

  20. Support Vector Machines

  21. Ensemble Learning

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