What to read after Big Data Analytics?

Big Data Analytics - 2 BOOK BUNDLE!!

Data Analytics With Python

Data is the foundation of this digital age that we live in. With this book, you are going to learn how to organize and analyze data and how to interpret vast sources of information. This book covers various topics on data analytics such as data analytics applications, data analytics process, using Python for data analytics, Python libraries for data analytics and many other that will help you kick-start your data analytics journey from the very beginning.

In this book you are going to learn how to use Python its tools in order to interpret data and examine those interesting data trends and information, which are important in predicting the future. Whether you are dealing with some medical data, sales data, web page data, you can use Python in order to interpret data, analyze it and obtain this valuable information.

You can also use this data for creating data analytics models and predictions.

Here Is A Brief Preview of What You’ll Learn In This Book…

Data analytics applications

Data analytics process

How to install and run Python

Python data structures and Python libraries

Python conditional construct and iteration

Data exploration using Pandas

Pandas series and dataframes

Data munging and distribution analysis

Carrying out binary operations

Data manipulation and categorical variable analysis

How to build a predictive model

And of course much, much more!

Natural Language Processing With Python

This book is a perfect beginner's guide to natural language processing. It is offering an easy to understand guide to implementing NLP techniques using Python. Natural language processing has been around for more than fifty years, but just recently with greater amounts of data present and better computational powers, it has gained a greater popularity.

Given the importance of data, there is no wonder why natural language processing is on the rise. If you are interested in learning more, this book will serve as your best companion on this journey introducing you to this challenging, yet extremely engaging world of automatic manipulation of our human language.

It covers all the basics you need to know before you dive deeper into NLP and solving more complex NLP tasks in Python.

Here Is a Preview of What You’ll Learn Here…

The main challenges of natural language processing

The history of natural language processing

How natural langauge processing actually works

The main natural language processing applications

Text preprocessing and noise removal

Feature engineering and syntactic parsing

Part of speech tagging and named entity extraction

Topic modeling and word embedding

Text classification problems

Working with text data using NLTK

Text summarization and sentiment analysis

And much, much more...

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