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    3. Data Preprocessing

    CRISP-ML(Q)-Data Pre-processing Using Python(2023)

    Posted By: naag
    Date: 9 Sep 2024 06:25:07
    CRISP-ML(Q)-Data Pre-processing Using Python(2023)

    CRISP-ML(Q)-Data Pre-processing Using Python(2023)
    MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | 85 lectures | 19h 47m Duration | 18.18 GB
    Genre: eLearning | Language: English

    Data Science - Data Pre-processing Using Python
    Details

    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
    Details

    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
    Details

    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.
    Details
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