By Gopi Subramanian
ISBN-10: 1784396400
ISBN-13: 9781784396404
Over 60 useful recipes that will help you discover Python and its strong info technology capabilities
About This Book
- The e-book is filled with uncomplicated and concise Python code examples to successfully display complicated recommendations in action
- Explore ideas equivalent to programming, information mining, info research, facts visualization, and desktop studying utilizing Python
- Get up to the mark on computer studying algorithms with the aid of easy-to-follow, insightful recipes
Who This e-book Is For
This publication is meant for all degrees of knowledge technological know-how execs, either scholars and practitioners, ranging from beginner to specialists. newbies can spend their time within the first 5 chapters getting themselves familiar with facts technological know-how. specialists can confer with the chapters ranging from 6 to appreciate how complicated suggestions are carried out utilizing Python. humans from non-Python backgrounds may also successfully use this ebook, however it will be beneficial in case you have a few earlier simple programming experience.
What you are going to Learn
- Explore the full variety of information technological know-how algorithms
- Get to grasp the tips utilized by engineers to create the main exact information technological know-how models
- Manage and use Python libraries reminiscent of numpy, scipy, scikit research, and matplotlib effectively
- Create significant gains to unravel real-world problems
- Take a glance at complicated Regression equipment for version construction and variable selection
- Get a radical knowing of the underlying strategies and implementation of Ensemble methods
- Solve real-world difficulties utilizing numerous assorted datasets from numerical and textual content information modalities
- Get familiar with smooth state-of-the paintings algorithms resembling Gradient Boosting, Random wooded area, Rotation wooded area, and so on
In Detail
Python is more and more changing into the language for information technological know-how. it's overtaking R when it comes to adoption, it really is widely recognized through many builders, and has a powerful set of libraries equivalent to Numpy, Pandas, scikit-learn, Matplotlib, Ipython and Scipy, to aid its utilization during this box. information technology is the rising new scorching tech box, that is an amalgamation of other disciplines together with data, computing device studying, and machine technological know-how. it is a disruptive expertise altering the face of ultra-modern enterprise and changing the economic system of varied verticals together with retail, production, on-line ventures, and hospitality, to call a number of, in a major way.
This e-book will stroll you thru some of the steps, ranging from uncomplicated to the main advanced algorithms to be had within the info technology arsenal, to successfully mine information and derive intelligence from it. At each step, we offer basic and effective Python recipes that may not in basic terms assist you to enforce those algorithms, but additionally make clear the underlying idea thoroughly.
The booklet starts off by means of introducing you to utilizing Python for info technological know-how, via operating with Python environments. you are going to then examine your facts with Python. The e-book then teaches you the options of information mining through an intensive assurance of laptop studying equipment. It introduces you to a few Python libraries to be had to aid enforce computer studying and knowledge mining workouts successfully. It additionally covers the foundations of shrinkage, ensemble equipment, random wooded area, rotation wooded area, and severe bushes, that are vital for any winning facts technological know-how Professional.
Style and approach
This is a step by step recipe-based method of facts technological know-how algorithms, introducing the maths philosophy in the back of those algorithms.
Read or Download Python Data Science Cookbook PDF
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Extra info for Python Data Science Cookbook
Sample text
Human decisions are increasingly replaced by decisions made by computers. Thanks to the field of data science. Data science has penetrated deeply in our connected world and there is a growing demand in the market for people who not only understand data science algorithms thoroughly, but are also capable of programming these algorithms. Data science is a field that is at the intersection of many fields, including data mining, machine learning, and statistics, to name a few. This puts an immense burden on all levels of data scientists; from the one who is aspiring to become a data scientist and those who are currently practitioners in this field.
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With the set() function, the duplicates are eliminated and a set object is returned. split() method return a list and we will pass it to a set function to get the set objects. Let's now calculate the similarity score between two sentences using Jaccard's coefficient. We will see in detail about Jaccard's coefficient and similar other measures in the similarity measures section in a later chapter. We will leverage the union() and intersection() functions available with the sets to calculate the similarity score.