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[FreeCoursesOnline.Me] PacktPub - Data science and Data preparation with KNIME [Video]

[FreeCoursesOnline.Me] PacktPub - Data science and Data preparation with KNIME [Video]

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Description
Lynda and other Courses >>> https://www.freecoursesonline.me/

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By: Dan We

Released: September 2021

Course Source: https://www.packtpub.com/product/data-science-and-data-preparation-with-knime-video/9781801073288



Video Details



ISBN 9781801073288

Course Length 4 hours 0 minute



About



Data preparation, data cleaning, data preprocessing (whatever you want to call it) is quite often the most tedious and time-consuming work in the data science/data analysis area. Especially if we are short of time and want to deliver crucial data analysis insights to our audience.



KNIME makes the data prep process efficient and easy. With KNIME, you can use the easy-to-use drag-and-drop interface, if you are not an experienced coder. But if you know how to work with languages such as R, Python, or Java, you can use them as well. This makes KNIME a truly flexible and versatile tool.



In this course, we will learn the efficient ways to import multiple files into KNIME, loops, web scraping, scripting (using Python code in KNIME), hyperparameter optimization, and feature selection. Also, learn basic machine learning workflows and helpful nodes for this in KNIME.



By the end of this course, you will be able to use KNIME for data cleaning and data preparation without any code.



All the resources and support files for this course are available at https://github.com/PacktPublishing/Data-science-and-Data-preparation-with-KNIME



Author



Dan We is a 31-year-old entrepreneur, data scientist, and data analytics/visual analytics consultant. He holds a master’s degree and is certified in Power BI as a qualified associate in Tableau. He is currently working in business intelligence and helps major companies get key insights from their data to deliver long-term growth and outpace their competitors.



He is committed to support other people by offering them educational services to help them accomplish their goals and become the best in their profession or explore a new career path.






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File list
  • [FreeCoursesOnline.Me] PacktPub - Data science and Data preparation with KNIME [Video]
  • 0. Websites you may like/How you can help our Group!.txt 204 B
  • 01.01-course_introduction.mkv 12 MB
  • 01.02-reading_multiple_csv_files_in_bulk_into_knime_update.mkv 388.7 MB
  • 01.03-reading_multiple_excel_files_in_bulk_into_knime_update.mkv 238.2 MB
  • 01.04-a_great_helper_node_for_time_series_analysis_in_knime.mkv 120.2 MB
  • 01.05-examples_of_how_to_use_loops_in_knime.mkv 87.6 MB
  • 01.06-more_on_loops_in_knime-several_ways_to_get_the_same_result.mkv 81.1 MB
  • 01.07-loops-how_to_split_data_into_multiple_output_files.mkv 191.9 MB
  • 01.08-loops_recursion_in_knime.mkv 201.1 MB
  • 01.09-webscraping_with_knime.mkv 210.4 MB
  • 01.10-webscraping_with_knime-financial_data.mkv 256.1 MB
  • 01.11-scripting-how_to_use_python_in_knime.mkv 132 MB
  • 01.12-python_in_knime-further_examples.mkv 138.5 MB
  • 01.13-hyperparameter_optimization_in_knime-data_preparation.mkv 143.6 MB
  • 01.14-hyperparameter_optimization_for_machine_learning_models_using_loops_in_knime.mkv 249.7 MB
  • 01.15-feature_selection_in_knime.mkv 228.6 MB
  • 01.16-machine_learning_prediction_process.mkv 155.8 MB
  • 01.17-knime_logout.mkv 3.5 MB
  • 02.01-reading_multiple_csv_files_in_bulk_into_knime.mkv 304 MB
  • 02.02-read_multiple_excel_sheets_in_bulk_into_knime.mkv 227 MB
  • 02.03-loops_how_to_split_data_into_multiple_output_files.mkv 185.2 MB
  • 02.04-python_in_knime-further_examples.mkv 121.8 MB
  • Code Files.rar 3.5 MB

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