Learning Predictive Analytics with Python
Idioma: inglés
Editorial: Packt Publishing, 2016
- Tapa blanda
- Nuevo
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Vendedor de AbeBooks desde 11 de junio de 1999
Condición: Nuevo
EUR 58,61
Cantidad disponible: 15 disponibles
Añadir al carritoDescripción del artículo del vendedor
New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
N° de ref. del artículo IQ-9781783983261
- Título
- Learning Predictive Analytics with Python
- Autor
- Kumar, Ashish
- Editorial
- Packt Publishing
- Año de publicación
- 2016
- Estado
- New
- Encuadernación
- PAP
- Idioma
- inglés
- ISBN 10
- 1783983264
- ISBN 13
- 9781783983261
- Peso del artículo
- 684 gramos
Key Features
- A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices
- Get to grips with the basics of Predictive Analytics with Python
- Learn how to use the popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering
Book Description
Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form - It needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Learning to predict who would win, lose, buy, lie, or die with Python is an indispensable skill set to have in this data age.
This book is your guide to getting started with Predictive Analytics using Python. You will see how to process data and make predictive models from it. We balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and numpy.
You'll start by getting an understanding of the basics of predictive modeling, then you will see how to cleanse your data of impurities and get it ready it for predictive modeling. You will also learn more about the best predictive modeling algorithms such as Linear Regression, Decision Trees, and Logistic Regression. Finally, you will see the best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world.
What you will learn
- Understand the statistical and mathematical concepts behind Predictive Analytics algorithms and implement Predictive Analytics algorithms using Python libraries
- Analyze the result parameters arising from the implementation of Predictive Analytics algorithms
- Write Python modules/functions from scratch to execute segments or the whole of these algorithms
- Recognize and mitigate various contingencies and issues related to the implementation of Predictive Analytics algorithms
- Get to know various methods of importing, cleaning, sub-setting, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and numpy
- Create dummy datasets and simple mathematical simulations using the Python numpy and pandas libraries
- Understand the best practices while handling datasets in Python and creating predictive models out of them
About the Author
Ashish Kumar has a B.Tech from IIT Madras and is a Young India Fellow from the batch of 2012-13. He is a data science enthusiast with extensive work experience in the field. As a part of his work experience, he has worked with tools, such as Python, R, and SAS. He has also implemented predictive algorithms to glean actionable insights for clients from transport and logistics, online payment, and healthcare industries. Apart from the data sciences, he is enthused by and adept at financial modelling and operational research. He is a prolific writer and has authored several online articles and short stories apart from running his own analytics blog. He also works pro-bono for a couple of social enterprises and freelances his data science skills.
He can be contacted on LinkedIn at https://goo.gl/yqrfo4, and on Twitter at https://twitter.com/asis64.
Table of Contents
- Getting Started with Predictive Modelling
- Data Cleaning
- Data Wrangling
- Statistical Concepts for Predictive Modelling
- Linear Regression with Python
- Logistic Regression with Python
- Clustering with Python
- Trees and Random Forests with Python
- Best Practices for Predictive Modelling
- A List of Links
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
“Acerca de” puede pertenecer a otra edición de este título.
PBShop.store UK
Fairford, GLOS, Reino Unido
Vendedor de AbeBooks desde 11 de junio de 1999
Tarifas de envío de Reino Unido a Estados Unidos de America
| Artículo | De 10 a 20 días hábiles | De 10 a 20 días hábiles |
|---|---|---|
| Primer artículo | EUR 5,86 | EUR 5,86 |
Métodos de pago
Descripción de la tienda
**Please note our transit times are from the date of dispatch.** We first started out as “The Paperback Exchange,” a chain of physical bookstores where we would part exchange your beloved books for new stories to transport you to faraway places. However, as shopping started to evolve to online shops and marketplaces, we bid our stores goodbye to become “PBShop.” This transition has only allowed us to blossom as we now ship thousands of titles to book lovers across the globe. We pride ourselves in being a community of local book lovers which allows our passion and devotion to shine in everything we do. In 2020 we not only celebrated our 20th birthday but our 1st birthday as being completely employee owned after becoming an E.O.T in September 2019. We are proud to be different and embrace standing apart on a book mountain by working from a virtual inventory which allows us to provide thousands of books that may be difficult to get for your bookshelf or your studies. Working with a number of different suppliers allows us to explore other avenues such as puzzles, sheet music and even stationery so we really do have something for everyone. Life is about being versatile in all realms of existence. If this is your first purchase with us, or you are a returning customer, we would like to welcome you to the PBShop family, for there is no friend as loyal as a book. We are a company who put our customers at the centre of everything we do as we understand the importance of reading because once you learn to read, you will forever be free. There are a whole lot of things in this world of ours that we are yet to explore, which is why we will forever inspire curious minds.…
Especialidad
Hardbacks, PaperbacksInformación empresarial del vendedor
Pbshop.co.uk
Unit 22 Horcott Industrial Estate, Horcott Road
Fairford, Reino Unido GL7 4BX
Condiciones de venta
Returns Policy
We ask all customers to contact us for authorisation should they wish to return their order. Orders returned without authorisation may not be credited.
If you wish to return, please contact us within 14 days of receiving your order to obtain authorisation.
Returns requested beyond this time will not be authorised.
Our team will provide full instructions on how to return your order and once received our returns department will process your refund.
Please note the cost to return any unwanted order to us is borne by the buyer.
Should your order arrive damaged, not as advertised or faulty, we must be advised of this within 14 days of delivery. Please contact us so we can find the best solution for you.
Our Customer Care Team can be contacted by emailing alborders@paperbackshop.co.uk, or by calling our UK Office on +441285 712 917. We are available 9:00am till 5:30pm GMT Monday to Friday.
Derecho al desistimiento
Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona física que actúe con fines ajenos a su actividad comercial, empresarial, oficio o profesión.
Información sobre el derecho de desistimiento
Derecho legal de desistimiento
Tiene derecho a rescindir este contrato en un plazo de 14 días sin dar ningún motivo.
El periodo de desistimiento vencerá a los 14 días desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesión física del último bien o del último lote o pieza.
Para ejercer el derecho de desistimiento, complete de forma electrónica y envíe una declaración clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a través de un soporte duradero (por ejemplo, por correo electrónico).
Para cumplir con el plazo de desistimiento, basta con que envíe su comunicación relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.
Efectos del desistimiento
Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de envío (excepto los gastos adicionales que surjan si elige un tipo de envío que no sea el tipo de envío estándar más económico que ofrecemos).
Podemos hacer una deducción del reembolso por la pérdida de valor de cualquier bien suministrado, si la pérdida es el resultado de una manipulación innecesaria por su parte.
Efectuaremos el reembolso sin demoras indebidas y, a más tardar, 14 días después de que se nos informe de su decisión de rescindir este contrato.
Efectuaremos el reembolso utilizando el mismo medio de pago que utilizó para la transacción inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrirá en ningún cargo como resultado de dicho reembolso.
Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.
Deberá devolver los bienes o entregarlos a PBShop.store UK, Fairford, United Kingdom, +44 1285 712917, sin demoras indebidas y, en cualquier caso, en un plazo máximo de 14 días a partir del día en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercancía antes de que venza el periodo de 14 días. Tendrá que asumir los gastos directos de devolución de los bienes. Usted solo es responsable de la disminución del valor de los bienes como resultado de una manipulación distinta a la necesaria para establecer la naturaleza, las características y el funcionamiento de los bienes.
Excepciones al derecho de desistimiento
El derecho de desistimiento no se aplica a lo siguiente:
- La entrega de periódicos, diarios o revistas, con la excepción de los contratos de suscripción; y
- El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, aceptó que podíamos empezar a entregarlo y que no podría desistir una vez iniciada la entrega.
Condiciones de envío
Orders are shipped from our UK warehouse. Delivery thereafter is between 4 and 14 business days. Please contact us if you have any queries about our services or products.