Introduction to Machine Learning with Python  - A Guide for Data Scientists
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Introduction to Machine Learning with Python - A Guide for Data Scientists  (English, Paperback, Muller Andreas)

4.6
164 Ratings & 9 Reviews
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    Highlights
    • Language: English
    • Binding: Paperback
    • Publisher: Shroff Publishers & Distributors Pvt Ltd
    • Genre: Computers
    • ISBN: 9789352134571, 9789352134571
    • Pages: 392
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  • Specifications
    Book Details
    Imprint
    • Shroff Publishers & Distributors Pvt Ltd
    Publication Year
    • Sun Nov 20 00:00:00 IST 2016
    Table of Contents
    • Chapter 1 Introduction, Chapter 2 Supervised Learning, Chapter 3 Unsupervised Learning and Preprocessing, Chapter 4 Representing Data and Engineering Features, Chapter 5 Model Evaluation and Improvement, Chapter 6 Algorithm Chains and Pipelines, Chapter 7 Working with Text Data, Chapter 8 Wrapping Up
    Contributors
    Author Info
    • Andreas MÙller received his PhD in machine learning from the University of Bonn. After working as a machine learning researcher on computer vision applications at Amazon for a year, he recently joined the Center for Data Science at the New York University. In the last four years, he has been maintainer and one of the core contributor of scikit-learn, a machine learning toolkit widely used in industry and academia, and author and contributor to several other widely used machine learning packages.
    Dimensions
    Width
    • 10 mm
    Height
    • 240 mm
    Length
    • 180 mm
    Depth
    • 0.72 inch
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    Ratings & Reviews
    4.6
    164 Ratings &
    9 Reviews
    • 5
    • 4
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    • 2
    • 1
    • 117
    • 35
    • 5
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    • 5
    5

    Worth every penny

    Excellent book for Machine Learning beginners
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    Rajesh Reddy Kappera

    Certified Buyer, Hyderabad

    Feb, 2020

    4
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    5

    Wonderful

    Very interesting book for machine learning
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    Rupam Saha

    Certified Buyer, Balurghat

    Dec, 2020

    1
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    5

    Excellent

    useful
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    Koustab Nath

    Certified Buyer, Garshyamnagar

    Jul, 2022

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    5

    Worth every penny

    It's a Marvelous book
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    SJCHOUDHURY

    Certified Buyer, Malkangiri District

    Jun, 2021

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    5

    Wonderful

    Nice book
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    Flipkart Customer

    Certified Buyer, Papumpare

    Nov, 2020

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    5

    Great product

    Best book if you want to persue your career in data science
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    Nishil Berawala

    Certified Buyer, Bharuch

    Nov, 2020

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    5

    Just wow!

    Awesome book to kickstart your Machine Learning Journey
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    prasun sinha

    Certified Buyer, Giridih

    Jul, 2020

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    4

    Good quality product

    awesome book for beginners
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    Anand Prakash

    Certified Buyer, Noida

    Jul, 2019

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    5

    Just wow!

    for this book i want to see in colour print
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    Mahaboob Basha

    Certified Buyer, Hyderabad

    Feb, 2019

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    All 9 reviews
    Questions and Answers
    Q:is this a book for begginer?
    A:No, the prerequisites for this book I'll say would be Python, Pandas, Numpy and Scipy. Out of these 4, you need to be at least 'intermediate' in the first 3 skills. Fantastic book once you do.
    Arjun Singh
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    Q:Is this a colored edition?
    A:No, it is not a colored version.
    Deepank Varshney
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    Q:How many pages and which topics it covers??
    A:392 pages, ML fundamental concepts, applications, advantages and shortcomings of algorithms, represent data processed, model evaluation and parameter tuning, concept of pipelines for chaining models
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    Q:is this book is in python 3 or python 2?
    A:Python 3.
    Devendra Kumar
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    Q:Does this book covers topic like numpys, pandas, sckit-learn etc??
    A:yes
    Anonymous
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    Q:I know three languages including python. Is this book perfect for me to start machine learning??
    A:I think python is the best book to start ML models and deep learning
    ExcellenceBookStore
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    Q:Can one gain confidence to solve the models after going through this book?
    A:Yes it can help you deploy machine learning model in python and can make you well verse in python
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