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You're reading from  Mastering pandas. - Second Edition

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Published inOct 2019
Reading LevelIntermediate
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ISBN-139781789343236
Edition2nd Edition
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Ashish Kumar
Ashish Kumar
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Ashish Kumar

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.
Read more about Ashish Kumar

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Practical applications of multidimensional arrays

Panel data (spreadsheet-like data with several distinguishable rows and columns; the kind of data we generally encounter) is best handled by the DataFrame data structure available in pandas and R. Arrays can be used too but it would be tedious.

So what is a good example of data in real life that can be best represented by an array? Images, which are generally represented as multidimensional arrays of pixels, are a good example. In this section, we will see examples of multidimensional representation of an image and why it makes sense.

Any object detection or image-processing algorithm performed on an image requires it to be represented in a numerical array format. For text data, term-document matrix and term frequency-inverse document frequency (TF-IDF) are used to vectorize (create numerical arrays) the data. In the case of an...

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Mastering pandas. - Second Edition
Published in: Oct 2019Publisher: ISBN-13: 9781789343236

Author (1)

author image
Ashish Kumar

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.
Read more about Ashish Kumar