Python for Data Mining Quick Syntax Reference - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Python for Data Mining Quick Syntax Reference write by Valentina Porcu. This book was released on 2018-12-19. Python for Data Mining Quick Syntax Reference available in PDF, EPUB and Kindle. Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis. Python for Data Mining Quick Syntax Reference covers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them. The first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learning. What You'll LearnInstall Python and choose a development environment Understand the basic concepts of object-oriented programming Import, open, and edit files Review the differences between Python 2.x and 3.xWho This Book Is For Programmers new to Python's data mining packages or with experience in other languages, who want a quick guide to Pythonic tools and techniques.
The Python Quick Syntax Reference
The Python Quick Syntax Reference - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Python Quick Syntax Reference write by Gregory Walters. This book was released on 2014-02-28. The Python Quick Syntax Reference available in PDF, EPUB and Kindle. The Python Quick Syntax Reference is the "go to" book that contains an easy to read and use guide to Python programming and development. This condensed code and syntax reference presents the Python language in a well-organized format designed to be used time and again. You won't find jargon, bloated samples, case studies, or history of Hello World and computer theory in this handy reference. This Python syntax reference is packed with useful information and is a must-have for any Python developer.
Python Data Mining Quick Start Guide
Python Data Mining Quick Start Guide - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Python Data Mining Quick Start Guide write by Nathan Greeneltch. This book was released on 2019-04-25. Python Data Mining Quick Start Guide available in PDF, EPUB and Kindle. Explore the different data mining techniques using the libraries and packages offered by Python Key FeaturesGrasp the basics of data loading, cleaning, analysis, and visualizationUse the popular Python libraries such as NumPy, pandas, matplotlib, and scikit-learn for data miningYour one-stop guide to build efficient data mining pipelines without going into too much theoryBook Description Data mining is a necessary and predictable response to the dawn of the information age. It is typically defined as the pattern and/ or trend discovery phase in the data mining pipeline, and Python is a popular tool for performing these tasks as it offers a wide variety of tools for data mining. This book will serve as a quick introduction to the concept of data mining and putting it to practical use with the help of popular Python packages and libraries. You will get a hands-on demonstration of working with different real-world datasets and extracting useful insights from them using popular Python libraries such as NumPy, pandas, scikit-learn, and matplotlib. You will then learn the different stages of data mining such as data loading, cleaning, analysis, and visualization. You will also get a full conceptual description of popular data transformation, clustering, and classification techniques. By the end of this book, you will be able to build an efficient data mining pipeline using Python without any hassle. What you will learnExplore the methods for summarizing datasets and visualizing/plotting dataCollect and format data for analytical workAssign data points into groups and visualize clustering patternsLearn how to predict continuous and categorical outputs for dataClean, filter noise from, and reduce the dimensions of dataSerialize a data processing model using scikit-learn’s pipeline featureDeploy the data processing model using Python’s pickle moduleWho this book is for Python developers interested in getting started with data mining will love this book. Budding data scientists and data analysts looking to quickly get to grips with practical data mining with Python will also find this book to be useful. Knowledge of Python programming is all you need to get started.
Data Mining with Python Quick Start Guide
Data Mining with Python Quick Start Guide - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining with Python Quick Start Guide write by Freeman Bhekisisa Dlamini. This book was released on 2021-04-07. Data Mining with Python Quick Start Guide available in PDF, EPUB and Kindle. You will learn how to implement a variety of popular data mining algorithms in Python (a programming language - software development environment) to tackle business problems and opportunities.This is the first version of the python book series and it covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining, and network analysis. It also includes: A new co-author Freeman Dlamini, brings both experiences teaching business analytics courses using Python, and expertise in the application of machine learning methods.A new section on ethical issues in data miningMore than a dozen case studies demonstrating applications for the data mining techniques describedEnd-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presentedData Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This book is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology."This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business-specific procedures such as social network analysis and text mining
Learn By Examples - A Quick Guide To Data Science With Python
Learn By Examples - A Quick Guide To Data Science With Python - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learn By Examples - A Quick Guide To Data Science With Python write by Eric M. H. Goh . This book was released on . Learn By Examples - A Quick Guide To Data Science With Python available in PDF, EPUB and Kindle. This book aim to equip the reader with Python Programming and Data Science basics. There will be many examples and explanations that are straight to the point. You will be walked through data mining process from data preparation to data analysis (descriptive statistics) and data visualization to prediction modeling (machine learning) and deployment using Python. Content Covered: IntroductionGetting Started (Installing WinPython, IDE, ...)Language Essentials (variables, list, data types manipulations, ...)Language Essentials II (conditional statements, loops, ...)Object Essentials (Modules, Class and Objects, ...)Data Mining with Python (Pandas, ScikitLearn, ...) We will be using opensource tools and IDE, hence, you don't have to worry about buying any softwares. The book is designed for non-programmers only. It will gives you a head start into python programming, with a touch on data mining. This book has been taught at Udemy and EMHAcademy.com. Use the following Coupon to get the Udemy Course at $11.99: https://www.udemy.com/fundamentals-of-python-for-data-mining/?couponCode=EBOOKSPECIAL ISBN: 978-163535299-3
