Search results for "Health Analytics with Python"

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Data Analytics and Python Programming. Beginners Guide to Learn Data Analytics, Predictive Analytics and Data Science with Python Programming

Cody

R 610.00
Business Analytics using Python

Kumar P

R 855.00
Python Data Visualization

Thompson Carter

R 611.00
Mastering Social Media Mining with Python

Acquire and analyze data from all corners of the social web with PythonAbout This Book• Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide• Use this easy-to-follow, step-by-step guide to apply analytics to complicated and messy social data• This is your one-stop solution to fetching, storing, analyzing, and visualizing social media dataWho This Book Is ForThis book is for intermediate Python developers who want to engage with the use of public APIs to collect data from social media platforms and perform statistical analysis in order to produce useful insights from data. The book assumes a basic understanding of the Python Standard Library and provides practical examples to guide you toward the creation of your data analysis project based on social data.What You Will Learn• Interact with a social media platform via their public API with Python• Store social data in a convenient format for data analysis• Slice and dice social data using Python tools for data science• Apply text analytics techniques to understand what people are talking about on social media• Apply advanced statistical and analytical techniques to produce useful insights from data• Build beautiful visualizations with web technologies to explore data and present data productsIn DetailYour social media is filled with a wealth of hidden data – unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights.This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data.Style and approachThis practical, hands-on guide will help you learn everything you need to perform data mining for social media. Throughout the book, we take an example-oriented approach to use Python for data analysis and provide useful tips and tricks that you can use in day-to-day tasks.

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Marco Bonzanini

R 1,661.00
Data Analytics from Scratch

Christopher Hendrick

R 519.00
Mastering Data Mining with Python – Find patterns hidden in your data

Learn how to create more powerful data mining applications with this comprehensive Python guide to advance data analytics techniquesAbout This Book• Dive deeper into data mining with Python – don't be complacent, sharpen your skills!• From the most common elements of data mining to cutting-edge techniques, we've got you covered for any data-related challenge• Become a more fluent and confident Python data-analyst, in full control of its extensive range of librariesWho This Book Is ForThis book is for data scientists who are already familiar with some basic data mining techniques such as SQL and machine learning, and who are comfortable with Python. If you are ready to learn some more advanced techniques in data mining in order to become a data mining expert, this is the book for you!What You Will Learn • Explore techniques for finding frequent itemsets and association rules in large data sets• Learn identification methods for entity matches across many different types of data• Identify the basics of network mining and how to apply it to real-world data sets• Discover methods for detecting the sentiment of text and for locating named entities in text• Observe multiple techniques for automatically extracting summaries and generating topic models for text• See how to use data mining to fix data anomalies and how to use machine learning to identify outliers in a data set In DetailData mining is an integral part of the data science pipeline. It is the foundation of any successful data-driven strategy – without it, you'll never be able to uncover truly transformative insights. Since data is vital to just about every modern organization, it is worth taking the next step to unlock even greater value and more meaningful understanding.If you already know the fundamentals of data mining with Python, you are now ready to experiment with more interesting, advanced data analytics techniques using Python's easy-to-use interface and extensive range of libraries.In this book, you'll go deeper into many often overlooked areas of data mining, including association rule mining, entity matching, network mining, sentiment analysis, named entity recognition, text summarization, topic modeling, and anomaly detection. For each data mining technique, we'll review the state-of-the-art and current best practices before comparing a wide variety of strategies for solving each problem. We will then implement example solutions using real-world data from the domain of software engineering, and we will spend time learning how to understand and interpret the results we get.By the end of this book, you will have solid experience implementing some of the most interesting and relevant data mining techniques available today, and you will have achieved a greater fluency in the important field of Python data analytics.Style and approach This book will teach you the intricacies in applying data mining using real-world scenarios and will act as a very practical solution to your data minin

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Megan Squire

R 1,889.00
Python Data Science

Scratch

R 531.00
Statistics by Simulation

Prof Prof London

R 4,549.00
Data Analytics

Lee Maxwell

R 348.00
Text Analysis in Python for Social Scientists

Text contains a wealth of information about about a wide variety of sociocultural constructs. Automated prediction methods can infer these quantities (sentiment analysis is probably the most well-known application). However, there is virtually no limit to the kinds of things we can predict from text: power, trust, misogyny, are all signaled in language. These algorithms easily scale to corpus sizes infeasible for manual analysis. Prediction algorithms have become steadily more powerful, especially with the advent of neural network methods. However, applying these techniques usually requires profound programming knowledge and machine learning expertise. As a result, many social scientists do not apply them. This Element provides the working social scientist with an overview of the most common methods for text classification, an intuition of their applicability, and Python code to execute them. It covers both the ethical foundations of such work as well as the emerging potential of neural network methods.

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Dirk Hovy

R 865.00
Fun with Data Analysis and BI

Fun with Data Analysis and BI

R 1,139.00

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moonwalk read by a moonwalker

I honestly have no words for this book. I love Michael Jackson and I am one of his biggest fans . Reading this felt like I was having a deep late night conversation with him. I wish I could read it for the first time again!!! I LOVE YOU ALWAYS MICHAEL #FOREVERINNOCENT #MJ #SHAMONE #HEEHEE #DONTSTOPTILLYOUGETENOUGH

Aangetrokke met die eerste oogopslag, maar dis nie gelykpad nie

Liefdesverhale is ’n effektiewe manier om waarhede aangaande verhoudings en die huwelik oor te dra. “… as jy die dag besluit om lief te wees vir die persoon wat jy gekies het, het jy ’n goeie kans om dit te maak werk.” (p. 65) Dit is raad wat ek raaklees in Veral jy, die tweede boek in die reeks oor die Du Bois-susters. Die skrywer is die gewilde Elsa Winckler.
Boek 1, In ’n oomblik, was die storie van die warrelwind romanse tussen Kirsten en Marnus. Boek 2 open met hulle troue en die plofbare ontmoeting tussen ’n volgende van die susters, Martine, en Antonie, een van die strooijonkers. Daar was na hom verwys as die “strooijonker-sonder-naam”, want hulle het nie tyd gemors met uitruil van name nie.
Antonie kom met bagasie wat spruit uit ’n ongelukkige kinderlewe en Martine het self ’n effe verwronge uitkyk oor die wenslikheid van trou. Dus is die tafel gedek vir seerkry. Voeg daarby ’n bitter tante wat ongenooid opdaag, en dinge verloop alles behalwe glad vir hulle.

Hartverskeurende en eerlike reis deur groot verlies

Anderkant die water is ’n boek wat jou bombardeer met emosies. Ronel du Plessis, eggenote van die voormalige Springbokrugbyspeler, Jannie du Plessis, skryf met pynlike eerlikheid oor die ramp wat hulle gesin getref het toe hulle jongste spruit in hulle swembad verdrink het.
Sy begin by die begin van haar en Jannie se verhaal, mediese studente, hulle hospitaaljare, hulle verblyf in Frankryk toe Jannie daar gaan speel het vir ’n Franse klub. Terug in Suid-Afrika, die opwinding van ’n huis teen die berg wat met haar siel praat, maar uiteindelik die plek van groot verlies sou word.
Haar sketse en gedigte gee verdere diepte aan haar vertelling. “My kalender het nou nie meer dae, dit bestaan net uit voor en na” (p.197) en “dalk kan U my vaswerk, ek voel te oop en rou, bring die naald en gare, Heer kom tog, maak net gou.” (p.234) Daar was tye wat sy intens met die Here geworstel het, kwaad was, ontnugter en teleurgesteld, maar haar geloof het staande gebly en haar staande gehou.
Ek sal nie so voorbarig wees om te sê dat ek kan verstaan nie. My eie verliese was nog nie so teen die normale verloop van ouderdom nie. Ek het wel as ‘n pad gestap saam met ’n vriendin wat self ’n dogter moes afstaan, gehelp met troosbedieninge, maar selfs dit gee mens net ’n oppervlakkige verstaan van sulke pyn en verplettering. Anderkant die water help wel om so ’n klein bietjie meer begrip te kry.

The Memories Across Time is a heartfelt novel about family history, traditions & faith.

The Memories Across Time is a heartfelt novel about family history, faith, and the search for identity. Kiril Kristoff weaves the past and present together, inviting readers to consider how the lives and choices of earlier generations can shape the people who come after them.

The story’s exploration of ancestry and heritage gives it emotional depth, while its historical setting brings a wider world to life. At its heart are questions many readers can relate to: Where do we come from? What do we inherit from our families? And what can learning about the past teach us about ourselves?
I recommend this book.
By Vessy K.

Going Dutch

*Going Dutch* is a class of its own. I would like to thank Obie. Rarely have I encountered such an extraordinary book of South Africa (and the Netherlands). It adds a great deal to what I knew. Obie's stories, encounters, photographs, the history of the country and the relationship with the Netherlands — it is all remarkably multifaceted. At times, reading and viewing it was an emotional experience. Hans de Jong - "Platland"/Netherlands.

Search results for "Health Analytics with Python"

11 results

Items we need to order for you

Data Analytics and Python Programming. Beginners Guide to Learn Data Analytics, Predictive Analytics and Data Science with Python Programming

Business Analytics using Python

Python Data Visualization

Data Analytics from Scratch

Mastering Data Mining with Python – Find patterns hidden in your data

Python Data Science

Statistics by Simulation

Data Analytics

Fun with Data Analysis and BI

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