Big data is an exciting field but how does one even begin to work with the permutations of data that is generated? There are a number of visualization tools Python provides you with but how do you squeeze the best out of it?
Well, don't worry anymore Python Data Science by author Travis Booth is going to walk you step by step through everything you need to know about this fascinating field. Whether you're a rank beginner or an expert looking for a challenging guide, this guide will have everything you need
Filled with tips and tricks about manipulating Python's vast visualization libraries along with expert advice on how to best approach this challenging subject, this is one guide you do not want to miss
Inside you will also learn all about:
Data manipulation and implications for statisticsNumPy arrays and other manipulationsVisualization techniques- beyond MatplotlibRegression models- linear and logisticalStemming and lemmatizationand so much more
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