检索结果-内蒙古大学图书馆

13th International Conference on Information and Communication Systems (ICICS)

作者： Abualigah, Sayel M. Aljawarneh, Emran Y. Al-Ayoub, Faris, I Al-Badarneh, Amer F. Jordan Univ Sci & Technol Dept Comp Informat Syst Irbid Jordan

ISBN: (纸本)9781665480970

Car accidents cause a lot of damage in real life including human souls, economic problems, and so on. The number of human deaths caused by car accidents increasing daily is vast spread. The economic problems caused by car accidents cause an economic problem for both people and countries. Python programming language was used in the paper to visualize some properties and issues. Python libraries were used like Pandas, NumPy, matplotlib, and Seaborn for visualization purposes. The paper introduced some shapes that display the dataset and the problem in an understandable way for the readers. This study will help people to avoid accidents even in a small way.

关键词： Car accidents economic issues matplotlib Seaborn visualizations US accidents

来源：评论

学校读者我要写书评

暂无评论

Consumer review Analysis using NLP and Data Mining 13

Consumer review Analysis using NLP and Data Mining

引用

IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC)

作者： Nasimuzzaman, Md. Merag, Ahmed Nur Afroj, Sumya Alam, Md. Mustakin Mehedi, Md Humaion Kabir Rasel, Annajiat Alim Brac Univ Dept Comp Sci & Engn 66 Mohakhali Dhaka 1212 Bangladesh

ISBN: (纸本)9798350332865

The popularity and development of the Internet have greatly increased the amount of information that is easily available. For a sizable portion of the population, it has evolved into the primary forum for opinion expression. These viewpoints can be discussed in reviews, online forums, and social media websites like Twitter and Facebook. Sentiment analysis and information extraction are made possible by the ease of access to all of these viewpoints, which is free. Sentiment analysis is concerned with automatically ascertaining, through the use of computer tools, if a reviewer's purpose is positive, negative, or neutral with regard to specific goods, services, and problems. Since they have such a positive impact on every particular organization, these strategies are rapidly gaining favor. As a result, we have researched multiple methods for classification, data preprocessing, and feature extraction in this study and compared the outcomes using the logistic regression, multinomial naive bayes, and other accuracy measures. The results of the simulation demonstrate that, when we have applied to a dataset with features that the model has retrieved, SVM is the most accurate classifier for the given data set.

关键词： Consumer review Data mining NLP TF-IDF SVM Naive Bayes logistic regression multinomial naive bayes matplotlib Seaborn Itertools Google Translate

来源：评论

学校读者我要写书评

暂无评论

PREdator: a python based GUI for data analysis, evaluation and fitting

引用

SOURCE CODE FOR BIOLOGY AND MEDICINE 2014年第1期9卷 21-21页

作者： Wiedemann, Christoph Bellstedt, Peter Goerlach, Matthias Fritz Lipmann Inst Leibniz Inst Age Res RG Biomol NMR Spect Beutenbergstr 11 D-07745 Jena Germany

The analysis of a series of experimental data is an essential procedure in virtually every field of research. The information contained in the data is extracted by fitting the experimental data to a mathematical model. The type of the mathematical model (linear, exponential, logarithmic, etc.) reflects the physical laws that underlie the experimental data. Here, we aim to provide a readily accessible, user-friendly python script for data analysis, evaluation and fitting. PREdator is presented at the example of NMR paramagnetic relaxation enhancement analysis.

关键词： Python3 matplotlib Paramagnetic relaxation enhancement Data fitting

来源：评论

学校读者我要写书评

暂无评论

Python: Real-World Data Science: Real-World Data Science

引用

丛书名： Curated Course

2016年

作者： Fabrizio Romano Dusty Phillips Phuong Vo.T.H Martin Czygan

ISBN: (数字)9781786465160

ISBN: (纸本)9781786465160

Unleash the power of Python and its robust data science capabilities Key Features: * Unleash the power of Python 3 objects * Learn to use powerful Python libraries for effective data processing and analysis * Harness the power of Python to analyze data and create insightful predictive models * Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics Book Description: The Python: Real-World Data Science course will take you on a journey to become an efficient data science practitioner by thoroughly understanding the key concepts of Python. This learning path is divided into four modules and each module are a mini course in their own right, and as you complete each one, you’ll have gained key skills and be ready for the material in the next module. The course begins with getting your Python fundamentals nailed down. After getting familiar with Python core concepts, it’s time that you dive into the field of data science. In the second module, you'll learn how to perform data analysis using Python in a practical and example-driven way. The third module will teach you how to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis to more complex data types including text, images, and graphs. Machine learning and predictive analytics have become the most important approaches to uncover data gold mines. In the final module, we'll discuss the necessary details regarding machine learning concepts, offering intuitive yet informative explanations on how machine learning algorithms work, how to use them, and most importantly, how to avoid the common pitfalls. What you will learn: * Install and setup Python * Implement objects in Python by creating classes and defining methods * Get acquainted with NumPy to use it with arrays and array-oriented computing in data analysis * Create effective visualizations for presenting your data using M

关键词： Python data science NumPy pandas data mining machine learning data analysis IPython data visualization SciPy scikit-learn matplotlib object-oriented programming OOP deep learning big data decision trees predictive analysis

来源：评论

学校读者我要写书评

暂无评论

Python web scraping cookbook : over 90 proven recipes to get you scraping with Python, microservi...

引用

2018年

作者： Heydt Michael

来源：内蒙古大学图书馆图书评论

学校读者我要写书评

暂无评论

Advanced Air Quality Monitoring System Using Raspberry Pi

Advanced Air Quality Monitoring System Using Raspberry Pi

引用

International Conference on Opto-Electronics and Applied Optics (Optronix)

作者： Banerjee, Indranil Naskar, Rajarshee Deb, Kamelia Saha, Debanjan Bhattacharjee, Sanchari Roy, Deb Kumar Univ Engn & Management Elect & Commun Engn Kolkata India

ISBN: (纸本)9781728100708

With an increasing air pollution, we developed an Advanced Air Quality Monitoring System using Raspberry Pi 3B+. The system involves monitoring the air quality by considering parameters like Suspended particulate matter(SPM), Carbon dioxide, Ozone, Carbon monoxide, Smoke, temperature and humidity. Particulate matter being a very important parameter gives a clear indication of pollution in that particular time in the area. These pollutant data are extracted using sensors like MQ7, MQ135, MQ9, DSM501A, DHT11, etc. Most of these sensors produce analog output so an Analog to Digital converter is required before supplying the data to the Raspberry pi 3B+ microcontroller. Using software and coding of the Raspberry Pi 3B+, the data are analyzed and a graph to show the changes in the locality and time in which the experiment is plotted. The results obtained were verified. The experiment is conducted in a locality at Rajarhat, New Town, Kolkata and the results were compared with that from a local environment control authority. This system would help to take real-time decisions and very effective in today's situation of high air pollution in most of the Indian cities.

关键词： Raspberry pi Python Gas sensors matplotlib

来源：评论

学校读者我要写书评

暂无评论

Counting Number of Objects in Images Using Machine Learning 5

Counting Number of Objects in Images Using Machine Learning

引用

5th IEEE International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Amoriya, Aditya Kumar, Chandan Kumari, Savita Galgotias University Gautam Buddha Nagar School of Computer Science and Engineering Greater Noida India

ISBN: (纸本)9798350383522

The advancements in technology have led to a comfortable life. Technology is getting advanced in the pixel world too. Image capturing is getting enhanced in every domain, be it private security cameras or government surveillance. The clarity of image has become a necessity for so many things. For e.g., if someone breaks a traffic law the image is captured by the camera and sent to the department. There can be more use case scenarios for this paper like in the case if a complaint is received of a traffic jam for more than 2-3 hours then a proper analysis can be done with the image provided as to what exactly is the number of cars being stuck in the traffic and also it will help in finding what is the main cause of the traffic jam and at what level is the cause being held at the situation. In this paper the work is done in the same domain of computer vision which is a field of computer science that focuses on enabling computers to identify and understand objects in images and videos. We are going to use cv library in python domain to detect images and we are going to use more libraries like matplotlib for graphical representation. In this paper we will detect the objects and tell the number of objects present in the image which will help us in many fields works. © 2024 IEEE.

关键词： cv library matplotlib Object detection

来源：评论

学校读者我要写书评

暂无评论

WhatsApp Chat Analyser 8th

WhatsApp Chat Analyser

引用

8th International Conference on ICT for Sustainable Development, ICT4SD 2023

作者： Chavan, Puja Ramteke, Priyanka Ramteke, Prashil Patil, Suyog Raut, Prashant Shetkar, Pranav Department of Multidisciplinary Engineering Vishwakarma Institute of Technology Maharashtra Pune411037 India

ISBN: (纸本)9789819956517

Among all communication channels, WhatsApp has been the most popular and effective. Numerous individual and group conversations make up this. As a result, they might contain some unstated facts. In this initiative, the data from those talks is thoroughly analysed. Regardless of the subject, this tool offers a thorough study of the information that WhatsApp provides. matplotlib, seaborn, Pandas, word cloud, URL extract, emoji, collection, NLTK libraries, among others were used in its construction. Graphs can be efficiently plotted using them, as well as data frames. It is possible to apply this library to the greatest data set because it is used to build data frames and plot various graphs. Inspecting and modelling data is a technique that aims to find some valuable information before drawing certain conclusions. We have both sentiment and chat analysis in WhatsApp Chat Analyser. Also group and individual analysis can be done. Above that we have used 12h format according to the latest update of WhatsApp. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.

关键词： Emoji matplotlib NLTK Pandas Seaborn Sentiment URL extract WhatsApp chat Word cloud

来源：评论

学校读者我要写书评

暂无评论

Big Data Architect’s Handbook: A guide to building proficiency in tools and systems used by leading big data experts

引用

2018年

作者： Syed Muhammad Fahad Akhtar

ISBN: (数字)9781788836388

ISBN: (纸本)9781788835824

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence About This Book • Learn to build and run a big data application with sample code • Explore examples to implement activities that a big data architect performs • Use Machine Learning and AI for structured and unstructured data Who This Book Is For Big Data Architect’s Handbook is for you if you are an aspiring data professional, developer, or IT enthusiast who aims to be an all-round architect in big data. This book is your one-stop solution to enhance your knowledge and carry out easy to complex activities required to become a big data architect. What You Will Learn • Learn Hadoop Ecosystem and Apache projects • Understand, compare NoSQL database and essential software architecture • Cloud infrastructure design considerations for big data • Explore application scenario of big data tools for daily activities • Learn to analyze and visualize results to uncover valuable insights • Build and run a big data application with sample code from end to end • Apply Machine Learning and AI to perform big data intelligence • Practice the daily activities performed by big data architects In Detail The big data architects are the “masters” of data, and hold high value in today’s market. Handling big data, be it of good or bad quality, is not an easy task. The prime job for any big data architect is to build an end-to-end big data solution that integrates data from different sources and analyzes it to find useful, hidden insights. Big Data Architect’s Handbook takes you through developing a complete, end-to-end big data pipeline, which will lay the foundation for you and provide the necessary knowledge required to be an architect in big data. Right from understanding the design considerations to implementing a solid, efficient, and scalable data pipeline, this book walks you through all the essential aspects of big data. It also gives you an overview of how you can leverage

关键词： Data Warehouse data modeling ETL hadoop mongodb tableau Elasticsearch NoSQL Neo4j machine learning deep learning artificial intelligence structured data unstructed data data visualization recommendation system matplotlib D3 js tensorflow

来源：评论

学校读者我要写书评

暂无评论

SciPy Recipes: A cookbook with over 110 proven recipes for performing mathematical and scientific computations

引用

2017年

作者： V Kishore Ayyadevara Ruben Oliva Ramos

ISBN: (数字)9781788295819

ISBN: (纸本)9781788291460

Tackle the most sophisticated problems associated with scientific computing and data manipulation using SciPy Key Features: * [*] Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlib * [*]Effective recipes on advanced scientific computations, statistics, data wrangling, data visualization, and more * [*]A must-have book if you're looking to solve your data-related problems using SciPy, on-the-go * Book Description: With the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease. This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide. What you will learn: * • Get a solid foundation in scientific computing using Python * • Master common tasks related to SciPy and associated libraries such as NumPy, pandas, and matplotlib * • Perform mathematical operations such as linear algebra and work with the statistical and probability functions in SciPy * • Master advanced computing such as Discrete Fourier Transform and K-means with the SciPy Stack * • Implement data wrangling tasks efficiently using pandas * • Visualize your data through various gr

关键词： matplotlib Statistics Machine Learning image processing interpolation Scientific computing numeric computing optimization FFTs linear algebra arrays NumPy integration linear algebra computational geometry clustering SciPy geoprocessing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：