Big Data Analytics Made Easy

Big Data Analytics Made Easy is a must-read for everybody as it explains the power of Analytics in a simple and logical 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 book. If you are already working in Analytics and dealing with Big Data, you will still find this book useful, as it covers exhaustive Data Mining Techniques, which are considered to be Advanced topics.

It covers Machine Learning concepts and provides in-depth knowledge on unsupervised as well as supervised Learning, 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 Science.

Table of Contents

STEP 1 Introduction to Big Data Analytics
STEP 2 Getting started with R
STEP 3 Data Exploration
STEP 4 Data Preparation
STEP 5 Statistical Thinking
STEP 6 Introduction to Machine Learning
STEP 7 Dimensionality Reduction
STEP 8 Clustering
STEP 9 Market Basket Analysis
STEP 10 Kernel Density Estimation
STEP 11 Regression
STEP 12 Logistic Regression
STEP 13 Decision Trees
STEP 14 K-Nearest Neighbor Classification
STEP 15 Bayesian Classifiers
STEP 16 Neural Networks
STEP 17 Support Vector Machines
STEP 18 Ensemble Learning