***** Buy now (Will soon return to $38.95 + Special Offer Below) *****
Free Kindle eBook for customers who purchase the print book from Amazon
Are you thinking of learning more about Data Science From scratch by using Python?
In the past ten years, Data Science has quietly grown to include businesses and organizations world-wide. It is now being used by governments, geneticists, engineers, and even astronomers.
Technically, this includes machine translation, robotics, speech recognition, the digital economy, and search engines. In terms of research areas, Data Science has expanded to include the biological sciences, health care, medical informatics, the humanities, and social sciences. Data Science now influences economics, governments, and business and finance.
This book is written for helping you to grasp data science in the easiest way possible with a lot of examples.
Several Visual Illustrations and Examples
Instead of tough math formulas, this book contains several graphs and images which detail all importants data science concepts and their applications.
This Is a Practical Guide Book
This book will help you explore exactly all data science techniques by using python.
This book takes a different approach that is based on providing simple examples of how each da science technique work, and building on those examples step by step to encompass data science.
You will build our data science Model by using Python
The book designed for a variety of target audiences. The most suitable users would include:
Beginners who want to approach data science, but are too afraid of complex math to start
- Newbies in computer science techniques and machine learning
- Professionals in data science and social sciences
- Professors, lecturers or tutors who are looking to find better ways to explain the content to their students in the simplest and easiest way
- Students and academicians, especially those focusing on data science
What's Inside This Great Book?
- Data Science Illuminated
- A Basic Course in Python
- Visualizing Data
- Linear Algebra
- Hypothesis and Inference
- Getting Data
- Working around Data
- Machine Learning
- K-Nearest Neighbors
- Naive Bayes
- Simple Linear Regression
- Logistic Regression
- Naive Bayes
- Decision Trees
- Random Forests
- Neural Networks
- Natural Language Processing
- Network Analysis
- Recommender Systems
- Databases and SQL
- Go Forth and Do Data Science
Frequently Asked Questions
Q: Is this book for me and do I need programming experience?
A: f you want to smash Data Science from scratch, this book is for you. Little programming experience is required. If you already wrote a few lines of code and recognize basic programming statements, you'll be OK.
Q: Can I loan this book to friends?
A: Yes. Under Amazon's Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days.
Q: Does this book include everything I need to become a data science expert?
A: Unfortunately, no. This book is designed for readers taking their first steps in data science and further learning will be required beyond this book to master all aspects of data science.
Q: Can I have a refund if this book is not fitted for me?
A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. will also be happy to help you if you send us an email at firstname.lastname@example.org.