Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Data Cleaning and Exploration with Machine Learning
Data Cleaning and Exploration with Machine Learning

Data Cleaning and Exploration with Machine Learning: Get to grips with machine learning techniques to achieve sparkling-clean data quickly

Arrow left icon
Profile Icon Michael Walker
Arrow right icon
£9.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (8 Ratings)
Paperback Aug 2022 542 pages 1st Edition
eBook
£25.99
Paperback
£31.99
Subscription
Free Trial
Renews at £9.99p/m
Arrow left icon
Profile Icon Michael Walker
Arrow right icon
£9.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (8 Ratings)
Paperback Aug 2022 542 pages 1st Edition
eBook
£25.99
Paperback
£31.99
Subscription
Free Trial
Renews at £9.99p/m
eBook
£25.99
Paperback
£31.99
Subscription
Free Trial
Renews at £9.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. £13.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Key benefits

  • Learn how to prepare data for machine learning processes
  • Understand which algorithms are based on prediction objectives and the properties of the data
  • Explore how to interpret and evaluate the results from machine learning

Description

Many individuals who know how to run machine learning algorithms do not have a good sense of the statistical assumptions they make and how to match the properties of the data to the algorithm for the best results. As you start with this book, models are carefully chosen to help you grasp the underlying data, including in-feature importance and correlation, and the distribution of features and targets. The first two parts of the book introduce you to techniques for preparing data for ML algorithms, without being bashful about using some ML techniques for data cleaning, including anomaly detection and feature selection. The book then helps you apply that knowledge to a wide variety of ML tasks. You’ll gain an understanding of popular supervised and unsupervised algorithms, how to prepare data for them, and how to evaluate them. Next, you’ll build models and understand the relationships in your data, as well as perform cleaning and exploration tasks with that data. You’ll make quick progress in studying the distribution of variables, identifying anomalies, and examining bivariate relationships, as you focus more on the accuracy of predictions in this book. By the end of this book, you’ll be able to deal with complex data problems using unsupervised ML algorithms like principal component analysis and k-means clustering.

Who is this book for?

This book is for professional data scientists, particularly those in the first few years of their career, or more experienced analysts who are relatively new to machine learning. Readers should have prior knowledge of concepts in statistics typically taught in an undergraduate introductory course as well as beginner-level experience in manipulating data programmatically.

What you will learn

  • Explore essential data cleaning and exploration techniques to be used before running the most popular machine learning algorithms
  • Understand how to perform preprocessing and feature selection, and how to set up the data for testing and validation
  • Model continuous targets with supervised learning algorithms
  • Model binary and multiclass targets with supervised learning algorithms
  • Execute clustering and dimension reduction with unsupervised learning algorithms
  • Understand how to use regression trees to model a continuous target

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 26, 2022
Length: 542 pages
Edition : 1st
Language : English
ISBN-13 : 9781803241678

What do you get with a Packt Subscription?

Free for first 7 days. £13.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Aug 26, 2022
Length: 542 pages
Edition : 1st
Language : English
ISBN-13 : 9781803241678

Packt Subscriptions

See our plans and pricing
Modal Close icon
£9.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
£99.99 billed annually
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just £5 each
Feature tick icon Exclusive print discounts
£139.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just £5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total £ 107.97
Data Cleaning and Exploration with Machine Learning
£31.99
Machine Learning Techniques for Text
£35.99
Modern Time Series Forecasting with Python
£39.99
Total £ 107.97 Stars icon
Visually different images

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6
(8 Ratings)
5 star 62.5%
4 star 37.5%
3 star 0%
2 star 0%
1 star 0%
Filter icon Filter
Top Reviews

Filter reviews by




Kedeisha B. Oct 29, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is hands down one of the best books I have gone through. So much hands on exercises with thoughtful explanations.What I enjoyed about this book is that is teaches what I find missing in many popular courses. The data cleaning and exploration techniques to prepare your data to best fit the statistical assumptions of a model that achieves optimal results.Rather than provide every data cleaning or feature selection technique known to man, it teaches the 20% that drive 80% of value.This is an amazing book that comes with a great GitHub repository where you can code along with each chapter. If you are looking to transition into a Data Science role or in the earlier stages of your career, don't walk, but run and get this book.
Amazon Verified review Amazon
Jay Oct 18, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book clearly explains all the essential concepts of data cleaning and gives very good insight on machine learning algorithms. You also get all the example code which you can play with. People who want to explore the ML AI domain are often intimidated by the amount of resources they find online. This book gives you solid fundamentals and doesn’t distract you from your goal.
Amazon Verified review Amazon
Yiqiao Yin Sep 02, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Many individuals who know how to run machine learning algorithms do not have a good sense of the statistical assumptions they make and how to match the properties of the data to the algorithm for the best results.
Amazon Verified review Amazon
Lance Oct 14, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is amazingly comprehensive and clear in how to work with data and manage it effectively and ethically to be prepared for machine learning. Walker takes readers through each step with accessible language that feels more suggestive or open to consideration by the readers; in that way, it feels conversational rather than directional and that he is along for the deep dive into machine learning with the reader. He also provides various tips and insights that can anticipate issues or problems that the reader may run into.
Amazon Verified review Amazon
Adam Bush Sep 24, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The author makes clear at the start that anyone can find themselves in this text. And it's true! This was not my field but I found myself turning the pages as I would a novel. The author is a teacher at heart-- at that comes across throughout. I was not talked at nor talked down to, but, instead, guided towards a new understanding of the iterative processes and possibilities of predictive analysis.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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.