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  • Machine Learning Cookbook with Python

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Machine Learning Cookbook with Python Paperback – 22 November 2020

by Rehan Guha (Author)
4.5 out of 5 stars (37)

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A Cookbook that will help you implement Machine Learning algorithms and techniques by building real-world projects

Key Features
  • Learn how to handle an entire Machine Learning Pipeline supported with adequate mathematics.
  • Create Predictive Models and choose the right model for various types of Datasets.
  • Learn the art of tuning a model to improve accuracy as per Business requirements.
  • Get familiar with concepts related to Data Analytics with Visualization, Data Science and Machine Learning.

Description
Machine Learning does not have to be intimidating at all. This book focuses on the concepts of Machine Learning and Data Analytics with mathematical explanations and programming examples. All the codes are written in Python as it is one of the most popular programming languages used for Data Science and Machine Learning. Here I have leveraged multiple libraries like NumPy, Pandas, scikit-learn, etc. to ease our task and not reinvent the wheel. There are five projects in total, each addressing a unique problem. With the recipes in this cookbook, one will learn how to solve Machine Learning problems for real-time data and perform Data Analysis and Analytics, Classification, and beyond. The datasets used are also unique and will help one to think, understand the problem and proceed towards the goal. The book is not saturated with Mathematics, but mostly all the Mathematical concepts are covered for the important topics. Every chapter typically starts with some theory and prerequisites, and then it gradually dives into the implementation of the same concept using Python, keeping a project in the background.

What will you learn
  • Understand the working of the o.S.E.M.N. framework in Data Science.
  • Get familiar with the end-to-end implementation of Machine Learning Pipeline.
  • Learn how to implement Machine Learning algorithms and concepts using Python.
  • Learn how to build a Predictive Model for a Business case.

Who this book is for
This cookbook is meant for anybody who is passionate enough to get into the World of Machine Learning and has a preliminary understanding of the Basics of Linear Algebra, Calculus, Probability, and Statistics. This book also serves as a reference guidebook for intermediate Machine Learning practitioners.

Table of Contents
1. Boston Crime
2. World Happiness Report
3. Iris Species
4. Credit Card Fraud Detection
5. Heart Disease UCI

About the Author
Rehan Guha —A Researcher by the day and an Artist by night. our Author is a Scholar -lecturer, an Innovator, and also a Humanitarian -Philanthropist. He started his life as a Coder, Developer, and now he is into research in the field of Machine Learning and Algorithms but also has a keen interest in General Science, Technology, Invention & Innovation.

The author holds a graduation degree from the Institute of Engineering & Management, Kolkata, and a Postgraduate certification on Deep Learning from the Indian Institute of Technology, Kharagpur (IIT-K)-AICTE approved FDP course.

If we talk about Rehan's area of interest, it lies in optimization Problems, Explainable AI, Deep Learning Architecture, Algorithms, Complexity, Algorithmic Thinking, et cetera… He has multiple publications through Journals and open Publications, along with his publications he has filed multiple patents for his Innovations and Inventions. At an early age, one of his patents was also demonstrated to the Indian Army.

In Rehan’s career, he has been involved with a variety of Business Verticals, starting from Banking, Consulting, Law, Insurance, Freight & Logistics, and Telcom.
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Previous slide of product details
  1. Print length
    264 pages
  2. Language
    English
  3. Publication date
    22 November 2020
  4. Dimensions
    19.05 x 1.52 x 23.5 cm
  5. ISBN-10
    9389898005
  6. ISBN-13
    978-9389898002
Next slide of product details

Product details

  • Publisher ‏ : ‎ BPB Publications
  • Publication date ‏ : ‎ 22 November 2020
  • Edition ‏ : ‎ First Edition
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 264 pages
  • ISBN-10 ‏ : ‎ 9389898005
  • ISBN-13 ‏ : ‎ 978-9389898002
  • Item Weight ‏ : ‎ 458 g
  • Dimensions ‏ : ‎ 19.05 x 1.52 x 23.5 cm
  • Country of Origin ‏ : ‎ India
  • Generic Name ‏ : ‎ Book
  • Best Sellers Rank: #372,510 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.5 out of 5 stars (37)

About the author

Follow authors to get new release updates, plus improved recommendations.
Rehan Guha

Rehan Guha

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Let me start by giving a simple introduction about my work. I am a Senior Machine Learning Researcher presently employed by product based company. I have worked in several ML projects mainly dealing with Optimization Problems, Explainable AI, Deep Learning, Imbalance Classification, et cetera...

I am also the author of a book "Machine Learning Cookbook with Python" published by BPB publications. I have been part multiple publications through Journals and Open Publications, along with this I have few applied patents to my name.

Recently I was invited by Arizona State University to be a part of their team participating in CPS challenge 2020 funded by National Science Foundation(NSF), USA and sponsered by NASA. I have also conducted multiple workshops, seminars in this field of research for various universities and made contributions to Open Source Software as well.

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Customer reviews

4.5 out of 5 stars
37 global ratings

Top reviews from India

  • Vipin singh
    5.0 out of 5 stars Simple, constructive and genuine quality
    Reviewed in India on 28 May 2022
    Format: PaperbackVerified Purchase
    As the name says "Cookbook", this book give you an immense skill of putting the right ingredients with mindful quantity can turn into a normal recipe into a multi-cuisine 5 star food. It is so well written that even a layman can understand the statistics world in more connecting way. I am not very active in reading but have gone through the same concepts thrice in a week daily. Must recommend for all levels
    2 people found this helpful
    Helpful
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  • Subhajit S.
    5.0 out of 5 stars Excellent books to start ML
    Reviewed in India on 26 January 2025
    Format: Kindle Edition
    The book is a fantastic resource for anyone eager to dive into the world of machine learning and data analytics. This book does an excellent job of breaking down complex concepts into manageable, actionable steps, making it ideal for both beginners and intermediate learners.
    What stands out the most is the practical approach it takes. The author uses real-world datasets, allowing readers to apply machine learning algorithms to genuine problems. This hands-on methodology helps solidify understanding while showcasing how machine learning works in the real world.
    Each project is clearly explained, with well-structured code examples that are easy to follow. The cookbook format makes it easy to jump to the sections that interest you the most, allowing for a flexible learning experience. Moreover, the wide range of open datasets included in the book provides ample opportunities for exploration and experimentation.
    Whether you're looking to enhance your skills, develop a project, or just explore the exciting possibilities of machine learning, this book provides an invaluable toolkit. Highly recommended for anyone looking to build practical experience and deepen their understanding of data analytics and machine learning!
    Helpful
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  • Amitava's kindle
    5.0 out of 5 stars Most Useful Book
    Reviewed in India on 3 February 2021
    Format: Kindle EditionVerified Purchase
    Its something which I just wanted.
    This book is for beginners,coders or even project managers can use it.
    Non Technical students can also understand clearly.
    I recommend this as one of best practical oriented machine learning book.
    3 people found this helpful
    Helpful
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  • RUMA MAITRA
    5.0 out of 5 stars Great book for beginners
    Reviewed in India on 23 March 2021
    Format: Kindle EditionVerified Purchase
    Great ways to understand the concept, easy language.
    I would recommend to all those who are new to learn coding or non-technical background
    2 people found this helpful
    Helpful
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  • abhijit sinha
    5.0 out of 5 stars Excellent
    Reviewed in India on 18 February 2021
    Format: PaperbackVerified Purchase
    It's an amazing book and I recommend everyone to buy it.
    Non tech people can also go though this.
    Worth buying!!
    One person found this helpful
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  • S
    5.0 out of 5 stars Great
    Reviewed in India on 8 December 2020
    Format: Paperback
    Great work bro, Thanks, keep it up and also try to post more work around with all packages , thanks .
    2 people found this helpful
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