Free Download Python Data Analysis for Newbies: Numpy/pandas/matDescriptionlib/scikit-learn/keras by Joshua K. Cage
English | 2020 | ISBN: N/A | ASIN: B08HRJ4ZXX | 131 pages | EPUB | 0.90 Mb
Thank you for picking up this book. This book is a beginner's introduction to data analysis using Python programming. This book is written for the following readers. 1) Interested in machine learning and deep learning 2) Interested in programming with Python. 3) Interested in data analysis. 4) Interested in using Numpy/Pandas/MatDescriptionlib/ScikitLearn. 5) Not interested in building machine learning environments. 6) Not interested in spending a lot of money for learning. 7) Vaguely worried about the new corona epidemic and the future. Many of my friends and acquaintances have started data analysis with a vengeance, only to be satisfied with the day-long process of setting up an environment, and then, after doing MNIST (handwritten numeric image data sets) and iris classification tutorials, they get busy with their day jobs and abandon it for a while.
This book uses the free Python execution environment provided by Google to run the tested source code in the book, allowing you to learn by doing programming with zero time to set up your own environment. This book focuses on the bare minimum of knowledge needed to get a beginner into serious data analysis in Python. Our goal is that by the end of the book, readers will have reached the following five goals.
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