A common problem in mechanical and medical data is associating notes with a category. In this challenge, you will automate the pr…

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A research group is running a study to understand how news consumption has changed lately. They run a survey on 3,000 people, ask…

To wrap up our series of data classification challenges, consider again the following churning problem: a telecom company wants y…

You would like to post a question on the KNIME forum, but you have confidential data that you cannot share. In this challenge you…

Challenge 2 - Split File and Save Into Subfolders A pharmaceutical company used to keep its sales data in a CSV file. They ask fo…

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Challenge 23 - Modeling Churn Predictions

Here is my answer for Just KNIME it Challenge 5. レベル 中級 説明 あなたの勤める会計事務所では、異なる日付で締結された契約書が渡されます。あなたの目標は、これらの契約のそれぞれに対応する会計年度をラベル付け…

Your coworker turns to you and says that she is going to retire. You laugh because she is 30 years old. She is serious. To unders…

My proposed solution to the Just KNIME It! Challenge 3. It contains a sligltly readapted Choropleth map component that only shows…

Here is my answer for Just KNIME it Challenge 2. Just KNIME IT チャレンジの第２回課題です。簡単にBlogでも解説します。 ある製薬会社では、これまで売上データをCSVファイルで管理していました。…

Given a text-based PDF document with a table, can you partially extract the table into a KNIME data table for further analysis? F…

In this challenge, you will do a little bit of logic building and produce the star triangle below. The output will be such that e…

Solution to the justknimeit-7 challenge

In this challenge series, the goal is to predict which customers of a certain telecom company are going to churn (that is, going …

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