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Exercise
Books KNIME Advanced Luck GIDS TheGuideBook Academia
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    02_Deployment
    GIDS Exercise Academia
    +4
    In this exercise you will use a previously trained neural network to predict some unseen data.
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Neural_Networks > Solution > 02_Deployment_Solution
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    Chapter 5 / Exercise 1
    Books KNIME Advanced Luck Exercise
    +2
    This exercise is about global variables. Extract data rows from the sales.csv file for a specific month and year combination. Use…
    jeany > Public > KNIMEPress > KNIME_Advanced_Luck_4.1_20200525 > AdvancedLuck > Chapter5 > Exercises > Exercise1
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    Chapter 5 / Exercise 1
    Books KNIME Advanced Luck Exercise
    +2
    This exercise is about global variables. Extract data rows from the sales.csv file for a specific month and year combination. Use…
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.4_20210803 > AdvancedLuck > Chapter5 > Exercises > Exercise1
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    Chapter 5 / Exercise 2
    KNIME Advanced Luck Books Exercise
    +3
    This exercise: - uses a global variable (username), - creates a local variable (timestamp ) with a Java Edit Variable node, - per…
    jeany > Public > KNIMEPress > KNIME_Advanced_Luck_4.1_20200525 > AdvancedLuck > Chapter5 > Exercises > Exercise2
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    Chapter 5 / Exercise 4
    Books KNIME Advanced Luck Exercise
    +5
    This exercise implements a parametric Column Filter node (in the Component) and a parametric Column Merger node. Select Column 1 …
    jeany > Public > KNIMEPress > KNIME_Advanced_Luck_4.3_20210222 > Chapter5 > Exercises > Exercise4
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    Chapter 6 / Exercise 1
    Books Exercise KNIME Advanced Luck
    +2
    Apply the following transformations to different clusters in the data: cluster 0: x=x cluster 1: x=sqrt(x) cluster 2: x=x+iter# c…
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.4_20210803 > AdvancedLuck > Chapter6 > Exercises > Exercise1
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    Chapter 6 / Exercise 2
    Books KNIME Advanced Luck Exercise
    +3
    Starting from 15.01.2011 we build the course schedule for the 12 months. One course every month, on the 15th. To do that, we use …
    jeany > Public > KNIMEPress > KNIME_Advanced_Luck_4.1_20200525 > AdvancedLuck > Chapter6 > Exercises > Exercise2
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    Chapter 6 / Exercise 2
    Books KNIME Advanced Luck Exercise
    +3
    Starting from 15.01.2011 we build the course schedule for the 12 months. One course every month, on the 15th. To do that, we use …
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.4_20210803 > AdvancedLuck > Chapter6 > Exercises > Exercise2
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    Chapter 6 / Exercise 2
    Books Exercise KNIME Advanced Luck
    +2
    This exercise is also about creating interactive dashboards. For this exercise, you will create a dashboard with a stacked area c…
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.5_2022011 > AdvancedLuck > Chapter6 > Exercises > Exercise2
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    Introduction
    GIDS Exercise Academia
    +1
    Exercise to perform basic operations in KNIME: - Read data - Filter rows - Filter columns - Write and plot data
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter1_Introduction > Introduction_Solution
    0
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    Chapter 7 / Exercise 1
    Books KNIME Advanced Luck Exercise
    +1
    In this exercise, we generate numbers from 1 to 10 and we multiply even numbers by 3 and odd numbers by 10. A CASE Switch Data (S…
    jeany > Public > KNIMEPress > KNIME_Advanced_Luck_4.1_20200525 > AdvancedLuck > Chapter7 > Exercises > Exercise 1
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    Chapter 2/Exercise 3 - Read the News
    Books From Words To Wisdom Text Mining
    +1
    Connect to one of these 3 RSS feeds: - New York Times World (English) URL: http://rss.nytimes.com/services/xml/rss/nyt/World.xml …
    satteree > IT4015 Satteree Projects > Lab5 > Exercises with data provided > Exercise 3. Read the News
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    Chapter 6 / Exercise 3
    Books KNIME Advanced Luck Exercise
    +2
    In this exercise, we clean up a file from duplicates. The easiest way would be to use a GroupBy node, group by contract IDs and t…
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.5_2022011 > AdvancedLuck > Chapter7 > Exercises > Exercise3
    0
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    01_Training
    Neural networks Deep learning GIDS
    +4
    In this exercise you will create a simple Feedforward Neural Network to predict the income class of a person in the adult dataset…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Neural_Networks > Solution > 01_Training_Solution
    0
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    Workflow
    Introduction
    GIDS Exercise Academia
    +1
    Exercise to perform basic operations in KNIME: - Read data - Filter rows - Filter columns - Write and plot data
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter1_Introduction > Introduction_Exercise
    0
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    Workflow
    Chapter 7 / Exercise 2
    Books KNIME Advanced Luck CASE Switch
    +2
    This workflow processes data differently depending on day of the week, which is a very common task in DataWareHousing. - No proce…
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.5_2022011 > AdvancedLuck > Chapter8 > Exercises > Exercise 2
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    Chapter 6 / Exercise 2
    Books KNIME Advanced Luck Exercise
    +3
    Starting from 15.01.2011 we build the course schedule for the 12 months. One course every month, on the 15th. To do that, we use …
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.5_2022011 > AdvancedLuck > Chapter7 > Exercises > Exercise2
    0
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    Workflow
    Chapter 4 / Exercise 1
    Books KNIME Advanced Luck Date Time
    +3
    This exercise is about applying some DateTime Manipulation nodes.
    jeany > Public > KNIMEPress > KNIME_Advanced_Luck_4.3_20210222 > Chapter4 > Exercises > Exercise1
    0
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    Chapter 5 / Exercise 4
    Books KNIME Advanced Luck Exercise
    +5
    This exercise implements a parametric Column Filter node (in the Component) and a parametric Column Merger node. Select Column 1 …
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.4_20210803 > AdvancedLuck > Chapter5 > Exercises > Exercise4
    0
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    Chapter 5 / Exercise 3
    Books KNIME Advanced Luck Exercise
    +3
    This exercise is about global and local variables. Define an engine size as global variable (300 for example). Find all cars with…
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.5_2022011 > AdvancedLuck > Chapter5 > Exercises > Exercise3
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