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发表于 2025-3-21 18:20:43
书目名称Data Science with Raspberry Pi影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0263134<br><br> <br><br>书目名称Data Science with Raspberry Pi影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0263134<br><br> <br><br>书目名称Data Science with Raspberry Pi网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0263134<br><br> <br><br>书目名称Data Science with Raspberry Pi网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0263134<br><br> <br><br>书目名称Data Science with Raspberry Pi被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0263134<br><br> <br><br>书目名称Data Science with Raspberry Pi被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0263134<br><br> <br><br>书目名称Data Science with Raspberry Pi年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0263134<br><br> <br><br>书目名称Data Science with Raspberry Pi年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0263134<br><br> <br><br>书目名称Data Science with Raspberry Pi读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0263134<br><br> <br><br>书目名称Data Science with Raspberry Pi读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0263134<br><br> <br><br>
HEAVY
发表于 2025-3-21 21:16:19
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
油膏
发表于 2025-3-22 00:48:15
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.
混沌
发表于 2025-3-22 05:49:47
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.
严厉谴责
发表于 2025-3-22 11:26:20
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
nonradioactive
发表于 2025-3-22 14:59:35
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nonradioactive
发表于 2025-3-22 17:28:21
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
squander
发表于 2025-3-23 01:14:18
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拖网
发表于 2025-3-23 04:47:14
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.
Cytokines
发表于 2025-3-23 09:16:06
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