What do you get with a Packt Subscription?

Free for first 7 days. £13.99 p/m after that. Cancel any time!

Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!

50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

Thousands of reference materials covering every tech concept you need to stay up to date.

Subscribe now

View plans & pricing

Key benefits

Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects

Explore advanced predictive modeling algorithms with an emphasis on theory with intuitive explanations

Learn to deploy a predictive model's results as an interactive application

Description

Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This book provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. The book's step-by-step approach starts by defining the problem and moves on to identifying relevant data. We will also be performing data preparation, exploring and visualizing relationships, building models, tuning, evaluating, and deploying model. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seaborn, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. By the end of this book, you will be all set to build high-performance predictive analytics solutions using Python programming.

Who is this book for?

This book is for data analysts, data scientists, data engineers, and Python developers who want to learn about predictive modeling and would like to implement predictive analytics solutions using Python's data stack. People from other backgrounds who would like to enter this exciting field will greatly benefit from reading this book. All you need is to be proficient in Python programming and have a basic understanding of statistics and college-level algebra.

What you will learn

Get to grips with the main concepts and principles of predictive analytics

Learn about the stages involved in producing complete predictive analytics solutions

Understand how to define a problem, propose a solution, and prepare a dataset

Use visualizations to explore relationships and gain insights into the dataset

Learn to build regression and classification models using scikit-learn

Use Keras to build powerful neural network models that produce accurate predictions

Learn to serve a model s predictions as a web application

What do you get with a Packt Subscription?

Free for first 7 days. £13.99 p/m after that. Cancel any time!

Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!

50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

Thousands of reference materials covering every tech concept you need to stay up to date.

Subscribe now

View plans & pricing

Frequently bought together

Artificial Intelligence and Machine Learning Fundamentals

£24.99

Hands-On Predictive Analytics with Python

£36.99

£32.99

Total £ 94.97

FAQs

What is included in a Packt subscription?

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription?

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits?

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled?

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title?

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team.

Can I download the code files for Early Access titles?

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date?

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready?

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access?

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered?

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content?

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access?

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.

Filter reviews by

All

Amazon verified reviews

reviewer of books #102395141 Dec 01, 2021

This is really educational content. My computer science graduate course used this textbook and the coding and problems in the book teach you alot. The majority of the code ran as written. I suspect there's some version conflicts between my interpreter and the book. There's a few errors/typos in the code, but they have a free downloadable jupyter notebook version that written and runs correctly but you have to go to their site. Learned alot about regression and classification problems, and this book doesn't require loads of math knowledge to get the point. If you have some python experience this book should be rather straightforward and useful.

Amazon Verified review

AGUILAR MONTOYA HUGO GEOVANNY Apr 08, 2019

Hands-On Predictive Analytics with Python is a practical manual that will lead you from the basics of analysis to a model deployment. It starts with theroy on the predictive analytics process from the very beggining (problem definition, data collection and preparation, etc.) that more advanced readers migth skip. However, in same Chapter One, theory of Python starts, so if you are a first timer on this tool, it will be very useful.Then, the manual gets better, with EDA, Machine Learning, and Neural Nets becoming the chapters. This is a must read and practice manual for everyone who wants to learn a begginer's lever on Python applied to analytics. Have a great practice time while learning deep Python!

Carlos en Urbana Mar 12, 2019

This is a great book to really understand predictive analytics. Unlike other books it is not only a list of algorithms, but a complete guide of all the stages in the process of using predictive analytics to solve problems. Going from problem understanding to deploying a usable neural network model for a final user was really awesome!

Francisco Recinos Vidal Mar 07, 2019

This book was really useful and the code easy to follow. I think it provides a good balance between practice and understanding what is going on with the models.

Susie GJ Mar 04, 2019

Recommended book if you want to understand how to do predictive analytics in practice, I have followed many online resources about predictive modelling, but they never go beyond simple cases. In this book, I learned how to actually deploy a model as a web application. Great examples!

Hands-On Predictive Analytics with Python: Master the complete predictive analytics process, from problem definition to model deployment

What do you get with a Packt Subscription?