Hands-On Predictive Analytics with Python: Master the complete predictive analytics process, from problem definition to model deployment
Language: English
Published by Packt Publishing, 2018
- Softcover
- New
Seller: Textbooks_Source, Columbia, MO, U.S.A.Textbooks_Source
AbeBooks seller since November 10, 2017
Condition: New
£ 25.52
Quantity: 6 available
Add to basketItem description from seller
Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Seller Inventory # 002341923N
- Title
- Hands-On Predictive Analytics with Python: Master the complete predictive analytics process, from problem definition to model deployment
- Author
- Fuentes, Alvaro
- Publisher
- Packt Publishing
- Publication year
- 2018
- Condition
- New
- Binding
- paperback
- Language
- English
- ISBN 10
- 178913871X
- ISBN 13
- 9781789138719
Step-by-step guide to build high performing predictive applications
Key Features
- 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
Book 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.
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
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
Textbooks_Source
Columbia, MO, U.S.A.
AbeBooks seller since November 10, 2017
Shipping rates within U.S.A.
| Item | 5 to 14 business days | 3 to 6 business days |
|---|---|---|
| First item | £ 2.95 | £ 5.17 |
Payment methods
Store description
Textbooks_Source is committed to selling new and used books for less money. We offer fast shipping & handling and dedicated customer service support to ensure that you have a great experience as our customer. Thank you for shopping with us!
Specialty
Textbooks and TradeSeller's business information
TXTB.com, LLC
2711 W. Ash St.
Columbia, MO U.S.A. 65203
Terms of sale
We are committed to selling new and used books for less money. We offer fast shipping & handling and dedicated customer service support to ensure that you have a great experience as our customer. Thank you for shopping with us!
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to Textbooks_Source, Columbia, Missouri, U.S.A., without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.