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Titlebook: Data Science with Raspberry Pi; Real-Time Applicatio K. Mohaideen Abdul Kadhar,G. Anand Book 2021 K. Mohaideen Abdul Kadhar and G. Anand 20

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发表于 2025-3-21 18:20:43 | 显示全部楼层 |阅读模式
书目名称Data Science with Raspberry Pi
副标题Real-Time Applicatio
编辑K. Mohaideen Abdul Kadhar,G. Anand
视频video
概述Shows how to develop up a Raspberry Pi as a localized cloud in data intensive applications.Covers the fundamentals of data science as part of real-time applications rather than as individual concepts.
图书封面Titlebook: Data Science with Raspberry Pi; Real-Time Applicatio K. Mohaideen Abdul Kadhar,G. Anand Book 2021 K. Mohaideen Abdul Kadhar and G. Anand 20
描述.Implement real-time data processing applications on the Raspberry Pi. This book uniquely helps you work with data science concepts as part of real-time applications using the Raspberry Pi as a localized cloud.  ..You’ll start with a brief introduction to data science followed by a dedicated look at the fundamental concepts of Python programming. Here you’ll install the software needed for Python programming on the Pi, and then review the various data types and modules available. The next steps are to set up your Pis for gathering real-time data and incorporate the basic operations of data science related to real-time applications. You’ll then combine all these new skills to work with machine learning concepts that will enable your Raspberry Pi to learn from the data it gathers. Case studies round out the book to give you an idea of the range of domains where these concepts can be applied. ..By the end of Data Science with the Raspberry Pi, you’ll understand that many applications are now dependent upon cloud computing. As Raspberry Pis are cheap, it is easy to use a number of them closer to the sensors gathering the data and restrict the analytics closer to the edge. You’ll find t
出版日期Book 2021
关键词Raspberry Pi; Pi; Localized Cloud; Data Science; Python
版次1
doihttps://doi.org/10.1007/978-1-4842-6825-4
isbn_softcover978-1-4842-6824-7
isbn_ebook978-1-4842-6825-4
copyrightK. Mohaideen Abdul Kadhar and G. Anand 2021
The information of publication is updating

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发表于 2025-3-21 21:16:19 | 显示全部楼层
Basics of Python Programming,rogramming language in the field of data science. Since it is easier to learn and write code in Python than other languages, it is an optimal choice for beginners. The widespread use of Python is also attributed to the fact that it is free and open source. The number of scientific libraries and pack
发表于 2025-3-22 00:48:15 | 显示全部楼层
Introduction to the Raspberry Pi,om to promote basic computer science and electronics among students around the world. Students and tech enthusiasts use the Raspberry Pi to learn programming concepts, build hardware projects and robots, and make artificial intelligence projects. It is also used in industrial applications.
发表于 2025-3-22 05:49:47 | 显示全部楼层
Preparing the Data, for analysis. From this stage, the errors in the data can be effectively handled by cleaning, identifying the missing values, handling outliers, etc. Hence, this chapter discusses the methodologies used to prepare the data using the Pandas package in Python.
发表于 2025-3-22 11:26:20 | 显示全部楼层
Visualizing the Data,t to know the nature of data we are dealing with. Visualizing the data may give us some useful insights about the nature of data. These insights, such as patterns in the data, distribution of the data, outliers present in the data, etc., can prove to be handy in determining the methodology to be use
发表于 2025-3-22 14:59:35 | 显示全部楼层
发表于 2025-3-22 17:28:21 | 显示全部楼层
f real-time applications rather than as individual concepts..Implement real-time data processing applications on the Raspberry Pi. This book uniquely helps you work with data science concepts as part of real-time applications using the Raspberry Pi as a localized cloud.  ..You’ll start with a brief
发表于 2025-3-23 01:14:18 | 显示全部楼层
发表于 2025-3-23 04:47:14 | 显示全部楼层
Chandrima Ganguly,Susovan Jana,Ranjan Parekhany policies for development. In simple terms, this type of analysis explores the data to understand and identify the patterns and trends in it. There is no common method for doing EDA; it depends on the data we are working with. For simplicity in this chapter, we will use common methods and plots for doing EDA.
发表于 2025-3-23 09:16:06 | 显示全部楼层
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