Mastering Python For Data Science

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Mastering Python For Data Science

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Author : Samir Madhavan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-08-31

Mastering Python For Data Science written by Samir Madhavan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-31 with Computers categories.

Explore the world of data science through Python and learn how to make sense of data About This Book Master data science methods using Python and its libraries Create data visualizations and mine for patterns Advanced techniques for the four fundamentals of Data Science with Python - data mining, data analysis, data visualization, and machine learning Who This Book Is For If you are a Python developer who wants to master the world of data science then this book is for you. Some knowledge of data science is assumed. What You Will Learn Manage data and perform linear algebra in Python Derive inferences from the analysis by performing inferential statistics Solve data science problems in Python Create high-end visualizations using Python Evaluate and apply the linear regression technique to estimate the relationships among variables. Build recommendation engines with the various collaborative filtering algorithms Apply the ensemble methods to improve your predictions Work with big data technologies to handle data at scale In Detail Data science is a relatively new knowledge domain which is used by various organizations to make data driven decisions. Data scientists have to wear various hats to work with data and to derive value from it. The Python programming language, beyond having conquered the scientific community in the last decade, is now an indispensable tool for the data science practitioner and a must-know tool for every aspiring data scientist. Using Python will offer you a fast, reliable, cross-platform, and mature environment for data analysis, machine learning, and algorithmic problem solving. This comprehensive guide helps you move beyond the hype and transcend the theory by providing you with a hands-on, advanced study of data science. Beginning with the essentials of Python in data science, you will learn to manage data and perform linear algebra in Python. You will move on to deriving inferences from the analysis by performing inferential statistics, and mining data to reveal hidden patterns and trends. You will use the matplot library to create high-end visualizations in Python and uncover the fundamentals of machine learning. Next, you will apply the linear regression technique and also learn to apply the logistic regression technique to your applications, before creating recommendation engines with various collaborative filtering algorithms and improving your predictions by applying the ensemble methods. Finally, you will perform K-means clustering, along with an analysis of unstructured data with different text mining techniques and leveraging the power of Python in big data analytics. Style and approach This book is an easy-to-follow, comprehensive guide on data science using Python. The topics covered in the book can all be used in real world scenarios.

Python Data Science For Beginners 2021

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Author : Steven Williams
language : en
Publisher:
Release Date : 2020-11-27

Python Data Science For Beginners 2021 written by Steven Williams and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-27 with Computers categories.

If you want to learn more about Data Science or how to master it with the Python Programming Language Step-by-Step, then keep reading. Data Science is one of the biggest buzzwords in the business world nowadays. Many businesses know the importance of collecting information, but as they can collect so much data in a short period, the real question is: "what is the next step?" Data Science includes all the different steps that you take with the data: collecting and cleaning them if they come from more than one source, analyzing them, applying Machine Learning algorithms and models, and then presenting your findings from the analysis with some good Data Visualizations. You will learn about the main steps that are needed to correctly implement Data Science techniques and the algorithms to help you sort through the data and see some amazing results. Some of the topics that we will discuss inside include -A thorough and simple explanation of data science and the way it works -Basics of data science and fundamental skills you need to get started -A blueprint for the most used frameworks for Python data science -How to process and understand the data and design your own projects -What data science is all about and why so many companies are using it to give them a competitive edge. -Why Python and how to use it to implement Data Science -What is the intersection between Machine Learning and Data Science and how to combine them -Functions and Modules in Python -Data Aggregation and Group Operations -Interaction with databases and data in the cloud -And Much More! Even if you have never implemented Data Science techniques, learning them is easier than it looks. You just need the right guidance. And Python Data Science provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn, the techniques to manipulate and process datasets, the principles of Python programming, and its most important real-world applications. Would You Like To Know More? Scroll up and click on the BUY NOW button to get your copy now!

Python Programming

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Author : Andrew Park
language : en
Publisher:
Release Date : 2020-11-14

Python Programming written by Andrew Park and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-14 with Computers categories.

If you want to learn Python in one week (or less) and learn it well, with useful applications to Data Analysis, Machine Learning and Data Science, then keep reading. Python is one of the most beloved programming languages in any circle of programmers. Software engineers, hackers, and Data Scientists alike are in love with the versatility that Python has to offer. Besides, the Object-Oriented feature of Python coupled with its flexibility is also one of the major attractions for this language. That's the reason why Python is a perfect fit with Data Analysis, Machine Learning and Data Science. Data is the future. The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies. Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations. The goal of this 4-in-1 bundle is simple: explaining everything you need to know to Master Python. With a special emphasis on the main steps that are needed to correctly implement Data Analysis and Machine Learning algorithms, In manuscript one, Python for Beginners, you will learn: How to install Python What are the different Python Data Types and Variables Basic Operators of Python Language Data Structures and Functions Conditional and Loops in Python And Much More! In manuscript two, Python Advanced Guide, you will master: Object-Oriented Programming (OOP), Inheritance and Polymorphism Essential Programming Tools Exception Handling Working with Files And Much More! In manuscript three, Python for Data Analysis, you will learn: What Data Analysis is all about and why businesses are investing in this sector The 5 steps of a Data Analysis The 7 Python libraries that make Python one of the best choices for Data Analysis Pandas, Jupyter and PyTorch And Much More! In manuscript four, Applications to Data Science, you will understand: How Data Visualization and Matplotlib can help you to understand the data you are working with. Neural Networks Decision Trees What industries are using data to improve their business with 14 real-world applications And So Much More! Where most books about Python programming are theoretical and have few or little practical examples, this book provides lots of simple, step-by-step examples and illustrations that are used to underline key concepts and help improve your understanding. Furthermore, topics are carefully selected to give you broad exposure to Python, while not overwhelming you with too much information. Also, the outputs of ALL the examples are provided immediately so you do not have to wait till you have access to your computer to test the examples. Even if you have never coded before, this is the perfect guide because it breaks down complex concepts into simple steps and in a concise and simple way that fits well with beginners. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them, and the most important real-world applications. Would you like to know more?Scroll Up and Click the BUY NOW Button to Get Your Copy!

Python For Data Science

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Author : Kok Keong Teo
language : en
Publisher: Independently Published
Release Date : 2023-09-19

Python For Data Science written by Kok Keong Teo and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-19 with categories.

Embark on a Transformative Data Science Adventure with 'Python for Data Science: Zero to Hero in 10 Days'! Dive into Python's incredible capabilities for data analysis and machine learning, even if you're a complete beginner. In just a span of 10 days, this immersive guide will empower you to evolve from a novice to a skilled data science practitioner. And the best part? We've made it even more accessible for you. All the code examples featured in this book will be readily available on GitHub. Just head over to the Python for Data Science: Zero to Hero in 10 Days Facebook page, where we'll provide the link for your convenience. About the Author Teo Kok Keong holds a Master of Engineering degree from Nanyang Technological University, where he specialized in "Time-series Prediction using Wavelet Neural Network" for his thesis. With a diverse career path spanning research, software development, and teaching in institutes of higher learning, Teo has accumulated a wealth of experience. Over the course of a decade, he has been dedicated to education within the School of Engineering, where he has not only delivered instruction but also contributed to the development of curricula. His teaching portfolio ranges from Microcontroller and C/C++ Programming to Data Science, catering to both full-time students and part-time adult learners.

Mastering Python For Data Science

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Author : Samir Medhaven
language : en
Publisher: Packt Publishing
Release Date : 2015-08-31

Mastering Python For Data Science written by Samir Medhaven and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-31 with Computers categories.

Explore the world of data science through Python and learn how to make sense of dataAbout This Book• Master data science methods using Python and its libraries• Create data visualizations and mine for patterns• Advanced techniques for the four fundamentals of Data Science with Python - data mining, data analysis, data visualization, and machine learningWho This Book Is ForIf you are a Python developer who wants to master the world of data science then this book is for you. Some knowledge of data science is assumed.What You Will Learn• Manage data and perform linear algebra in Python• Derive inferences from the analysis by performing inferential statistics• Solve data science problems in Python• Create high-end visualizations using Python• Evaluate and apply the linear regression technique to estimate the relationships among variables.• Build recommendation engines with the various collaborative filtering algorithms• Apply the ensemble methods to improve your predictions• Work with big data technologies to handle data at scaleIn DetailData science is a relatively new knowledge domain which is used by various organizations to make data driven decisions. Data scientists have to wear various hats to work with data and to derive value from it. The Python programming language, beyond having conquered the scientific community in the last decade, is now an indispensable tool for the data science practitioner and a must-know tool for every aspiring data scientist. Using Python will offer you a fast, reliable, cross-platform, and mature environment for data analysis, machine learning, and algorithmic problem solving.This comprehensive guide helps you move beyond the hype and transcend the theory by providing you with a hands-on, advanced study of data science.Beginning with the essentials of Python in data science, you will learn to manage data and perform linear algebra in Python. You will move on to deriving inferences from the analysis by performing inferential statistics, and mining data to reveal hidden patterns and trends. You will use the matplot library to create high-end visualizations in Python and uncover the fundamentals of machine learning. Next, you will apply the linear regression technique and also learn to apply the logistic regression technique to your applications, before creating recommendation engines with various collaborative filtering algorithms and improving your predictions by applying the ensemble methods.Finally, you will perform K-means clustering, along with an analysis of unstructured data with different text mining techniques and leveraging the power of Python in big data analytics.Style and approachThis book is an easy-to-follow, comprehensive guide on data science using Python. The topics covered in the book can all be used in real world scenarios.

Mastering Python Data Analysis

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Author : Magnus Vilhelm Persson
language : en
Publisher: Packt Publishing
Release Date : 2016-06-27

Mastering Python Data Analysis written by Magnus Vilhelm Persson and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-27 with Computers categories.

Become an expert at using Python for advanced statistical analysis of data using real-world examplesAbout This Book- Clean, format, and explore data using graphical and numerical summaries- Leverage the IPython environment to efficiently analyze data with Python- Packed with easy-to-follow examples to develop advanced computational skills for the analysis of complex dataWho This Book Is ForIf you are a competent Python developer who wants to take your data analysis skills to the next level by solving complex problems, then this advanced guide is for you. Familiarity with the basics of applying Python libraries to data sets is assumed.What You Will Learn- Read, sort, and map various data into Python and Pandas- Recognise patterns so you can understand and explore data- Use statistical models to discover patterns in data- Review classical statistical inference using Python, Pandas, and SciPy- Detect similarities and differences in data with clustering- Clean your data to make it useful- Work in Jupyter Notebook to produce publication ready figures to be included in reportsIn DetailPython, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. Ever imagined how to become an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? Well, look no further, this is the book you want!Through this comprehensive guide, you will explore data and present results and conclusions from statistical analysis in a meaningful way. You'll be able to quickly and accurately perform the hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making.You'll start off by learning about the tools available for data analysis in Python and will then explore the statistical models that are used to identify patterns in data. Gradually, you'll move on to review statistical inference using Python, Pandas, and SciPy. After that, we'll focus on performing regression using computational tools and you'll get to understand the problem of identifying clusters in data in an algorithmic way. Finally, we delve into advanced techniques to quantify cause and effect using Bayesian methods and you'll discover how to use Python's tools for supervised machine learning.Style and approachThis book takes a step-by-step approach to reading, processing, and analyzing data in Python using various methods and tools. Rich in examples, each topic connects to real-world examples and retrieves data directly online where possible. With this book, you are given the knowledge and tools to explore any data on your own, encouraging a curiosity befitting all data scientists.

Mastering Python And Ai For Data Science

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Author : Precious Anusiem
language : en
Publisher: Independently Published
Release Date : 2024-10-23

Mastering Python And Ai For Data Science written by Precious Anusiem and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-23 with Computers categories.

Think data science is complicated? Think again-without this guide, your next career opportunity could slip through your fingers. Benefits: Get a step-by-step guide to mastering Python for data science. Understand AI and machine learning to solve real-world problems. Learn the key techniques for analyzing data and driving impactful decisions. Discover industry secrets that professionals use to keep ahead of the competition. From basic concepts to advanced applications, this book is your ultimate guide to mastering data science using Python and AI. Learn to analyze massive datasets, create predictive models, and gain a deep understanding of how AI can be applied in any industry. Whether you're transitioning into data science or want to level up your skills, this guide will give you the tools to succeed and generate massive returns from your data-driven strategies. Don't let data science scare you. Get your copy now and stay ahead of the curve. Plus, subscribe via the QR code to win $10,000 and access exclusive bonus content.

Python Programming

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Author : Andrew Park
language : en
Publisher:
Release Date : 2021-02-15

Python Programming written by Andrew Park and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-15 with categories.

Are you ready to learn the fundamentals of the most powerful and popular programming language in the world in just one week or less? Python is the programming language leading the forefront of open-source platforms and providing incredible breakthroughs in multiple industries. Jump on the trend and increase your skills and salary by learning how to use Python. "Python Programming" consists of five incredibly important books to help you master Python through practical examples, Data Analysis, Machine Learning and Data Science. By learning this essential programming language, you will open tons of doors for both your personal and professional life. With these books in your hands, you will: Learn the basics of Python from scratch - perfect for beginners who need a simple and quick introduction to the language Build upon the basics with advanced techniques and practices such as Object-Oriented Programming, Inheritance, and Polymorphism Master Python in just a few weeks through practical examples and applications and simple explanations Discover the concepts and theory of Python to solidify your understanding of the language and build a strong foundation Increase your salary at work or start freelancing with this new in-demand skill you've mastered And Much More! In this bundle, you will receive five essential books for mastering the Python language Python for Beginners, Python Advanced Guide, Python for Data Analysis, Python Machine Learning and Python Data Science. If you're looking to improve your programming skills or break into programming as a beginner, these books are extremely valuable and helpful to get you started. What are you waiting for? Order Your Copy of the Bundle and Start Mastering Python Today!

Python Data Science

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Author : Dennis Field
language : en
Publisher:
Release Date : 2022-05-08

Python Data Science written by Dennis Field and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-08 with categories.

Continue reading if you want to learn more about Data Science and how to master it using the Python Programming Language. Data Science is now one of the most used terms in the corporate sector. Many companies understand the value of information collection, but since they can gather so much data quickly, the real issue is "what is the next step?" Data Science encompasses all of the processes you take with data, such as gathering and cleaning it if it comes from several sources, analyzing it, using Machine Learning algorithms and models, and presenting your results with some nice data visualization. And this is what Python Data Science will teach you. You will learn about the primary processes required to appropriately use Data Science methodologies and the algorithms that will assist you in sorting through the data and producing some remarkable outcomes. Some of the topics we will cover include: What is data science all about, and why do so many businesses embrace it to gain a competitive advantage. Why Python, and how can it be used to accomplish Data Science? 9 essential Data Mining Techniques for Data Science Interaction between databases and cloud data And Much More!.... Even if you have never used Data Science methods before, understanding them is simpler than it seems. All you need is the correct direction. And Python Data Science teaches you all you need to know straightforwardly and practically. Regardless of your prior knowledge, you will learn how to manage and analyze datasets and the fundamentals of Python programming and its most significant real-world applications. Do you want to learn more? To buy your book immediately, scroll to the top of the page and click the "Buy now" option.

Python Programming

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Author : Andrew Park
language : en
Publisher:
Release Date : 2021-07-04

Python Programming written by Andrew Park and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-04 with categories.

Curious To Know More About Python Programming And Would Like To Go Proficient? Then Learn From The Best Tips and Tricks Laid Down In This Powerful Bundle! Python is the programming language leading the forefront of open-source platforms and providing incredible breakthroughs in multiple industries. Jump on the trend and increase your skills and salary by learning how to use Python. "Python Programming" consists of six incredibly important books to help you master Python through practical examples, exercises, Data Analysis, Machine Learning and Data Science. By learning this essential programming language, you will open tons of doors for both your personal and professional life. 2nd Edition Updated and Expanded with 2 More Manuscripts! This 6-in-1 bundle is perfect for everyone who wants to break into programming as a beginner. In Book 1, Python for Beginners, you will master the basics (first things first): What is Python Python Installation Variables and Data Types Basic Operators Data Structures And Much More! In Book 2, Python for Intermediates, you will learn: Conditional or Decision Statements Lists and Modules Functions in Python Working with Files And Much More! In Book 3, Python Advanced Guide, you will be ready to go through more advanced concepts: Loops in Python Object Oriented Programming (OOP) Exception Handling Essential Programming Tools Practical Codes and Exercises to Use Python And Much More! In Book 4, Python for Data Analysis, you will learn: What is Data Analysis and Why Python is the best programming language for it The 5 steps of Data Analysis that almost nobody implements correctly What are the best Python Libraries, including The PyTorch Library Everything about Pandas How to use Matplotlib for Data Visualization And Much More! In Book 5, Python Machine Learning, you will learn: What is Machine Learning, Concepts & Terms What are the 7 Python Libraries for Machine Learning Machine Learning Training Model Linear Regression and Neural Network with Python And Much More! And finally, in Book 6, Python Data Science, you will learn: Mathematical models and why Python is the best choice to implement them Data Science Algorithms (Logistic Regression, Decision Trees) Data Mining Techniques Real-Worlds Applications Data in the Cloud And So Much More! Programming might require a different approach and logical thinking according to each situation, but... Once you learn the basics, everything else will start slowly falling into its place. And With The Help Of This Essential Guide, Python Coding Will Turn Into A Child's Play For You! Ready For Your Next Project...? ...Then Order Your Copy of the Bundle and Start Learning Python Today!