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Cleaning Data In R with Tidyverse and Data.table

Posted By: naag
Date: 5 Sep 2024 06:55:27
Cleaning Data In R with Tidyverse and Data.table

Cleaning Data In R with Tidyverse and Data.table
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | 37 lectures | 4h 4m Duration | 1.85 GB
Genre: eLearning | Language: English

Get your data ready for analysis with R packages tidyverse, dplyr, data.table, tidyr and more
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Data Pre-Processing for Data Analytics and Data Science

Posted By: lucky_aut
Date: 12 Aug 2024 17:03:17
Data Pre-Processing for Data Analytics and Data Science

Data Pre-Processing for Data Analytics and Data Science
Last updated 2/2024
Duration: 8h52m | .MP4 1920x1080, 30 fps(r) | AAC, 44100 Hz, 2ch | 4.79 GB
Genre: eLearning | Language: English

Pre-Processing for Data Analytics and Data Science
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Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics (repost)

Posted By: hill0
Date: 7 Jan 2024 11:12:17
Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics (repost)

Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics
English | 2022 | ISBN: 9781801072137 | 602 Pages | True EPUB | 38 MB
Details

Data Analytics: Models and Algorithms for Intelligent Data Analysis

Posted By: AvaxGenius
Date: 5 Apr 2022 04:30:19
Data Analytics: Models and Algorithms for Intelligent Data Analysis

Data Analytics: Models and Algorithms for Intelligent Data Analysis, Second Edition By Thomas A. Runkler
English | PFF(True) | 2016 | 150 Pages | ISBN : 3658140747 | 4.9 MB

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens.
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