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Python for Data Science: A step-by-step Python Programming Guide to Master Big Data, Analysis, Machine Learning, and Artificial Intelligence
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Python for Data Science: A step-by-step Python Programming Guide to Master Big Data, Analysis, Machine Learning, and Artificial Intelligence

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Posted 18th Mar

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Description

Are you a new business owner? Or an entrepreneur looking to catch up to the big companies in your industrial sector?


Then this is the book you need to understand and master the fundamentals and importance of data science technologies to kick start your business or take it to the next level. Thanks to the smart and savvy customer of today, the competition to gain new customers while retaining existing customers is fierce. As a result, companies are increasingly relying upon cutting edge technologies such as big data analytics, data mining technology, machine learning and artificial intelligence technology to gain an edge over the competition.

Today machine learning and artificial intelligencehas given rise to sophisticated machines that can study human behavior and activity to identify underlying human behavioral patterns and precisely predict what products and services consumers are interested in.
Businesses with an eye on the future are gradually turning into technology companies under the façade of their intended business model. It is getting increasingly challenging for traditional businesses to retain their customers without adopting one or more of the cutting-edge technology explained in this book. Those entrepreneurs and business executives who have a sound understanding of the current challenges and status of their business will be primed to make informed decisions to meet the challenges head-on and improve their bottom line.
This is where the treasure trove of knowledge from this book will help you take an exciting new turn on your business journey and compete with the titans of the Silicon Valley.
Some of the highlights of the book include:

Learn the nuances of “12 of the most popular machine learning algorithms”, in a very easy to understand language that requires no background in Python coding language.

Learn about the foundational machine learning algorithms namely, supervised, unsupervised, semi-supervised, and reinforcement machine learning algorithms.

Explicit list of all built-in Python functions, methods, and keywords that can be used to easily develop and run advance codes.

Learn how Python programming is being used in the development and testing of software programs and machine learning algorithms to solve real world problems.

Learn all about big data right from the historical development to the current explosion in this field.

Dig deep into the data mining process, the benefits of using data mining technology, the challenges facing the data mining technology.

Deep dive into the functioning of Scikit-Learn library along with the pre-requisites required to develop a machine learning model using the Scikit-Learn library.

This book is filled with real-life examples to help you understand the nitty-gritty of all the concepts as well as names and descriptions of multiple tools that you can further explore and selectively implement in your business to reap the benefits of these cutting-edge technologies.
Remember knowledge is power, and with the great power you will gather from this book, you will be armed to make sound personal and professional technological choices.
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9 Comments
Another one for lockdown, thanks for sharing.
YIMan18/03/2020 20:10

Another one for lockdown, thanks for sharing.


No problem!
Thank you.
It's a great language to learn, so many possibilities.
david_robinson9418/03/2020 21:25

It's a great language to learn, so many possibilities.


Would I be ok in picking this up from scratch or would you advise on anything before Python?
justonemore19/03/2020 01:37

Would I be ok in picking this up from scratch or would you advise on …Would I be ok in picking this up from scratch or would you advise on anything before Python?


I suppose it depends on your requirements. Python is a rather good language to start with, the syntax used is very logical and so relatively easy to understand.

If you are looking to do data analysis you might find that R is the better choice, it's the primary language that I use and it has served me well.

Both Python and R have an extensive library of packages (add ons) that cost nothing and make them very powerful.

If you intend to purely use the application for data/scientific analysis then R tends to have the edge, but if you need to also use the language for basic programming or website integration then go Python all the way.

Both Python and R are amazing, and both cross over each other quite a bit.
justonemore19/03/2020 01:37

Would I be ok in picking this up from scratch or would you advise on …Would I be ok in picking this up from scratch or would you advise on anything before Python?


I'd say don't get bogged down too much in a specific language to start. Learn the basics - conditionals, loops, OOP etc first (pick whatever language for that - I'd recommend C#). Once you've got your head round that, then start to dig deeper with specific languages.
justonemore19/03/2020 01:37

Would I be ok in picking this up from scratch or would you advise on …Would I be ok in picking this up from scratch or would you advise on anything before Python?


I second scottdaly, if you really want to learn Python do the basics first - there are some good tutorials on YouTube, Udemy (deals posted regularly on hukd). Write some basic code next eg prime numbers, Fibonacci series, odd/even numbers etc.
Choose what you want to do with Python next ie web dev, machine learning, data science, app dev, game dev etc. Good luck.
I've had a quick look through this and it is NOT a Python tutorial. It has very little to do with Python at all (it does list the built-in functions and references use of one Machine Learning library), it's primarily about Machine Learning and covers some pretty high level statistics/Maths concepts.

If you want to learn Python look elsewhere.
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