JKISeason3-18
<p><strong>JKISeason3-18</strong></p><p><strong>Explaining Cancer Predictions</strong></p> TAGS: JKISeason3-18
justknimeit02 - 09 - Raffaello Barri
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JKISeason2-19_sryu
Challenge 19: Dealing with Diabetes Level: Easy or Medium Description: In this challenge you will take the role of a clinician and check if machine […]
03_Global_Feature_Importance
In the example, the Credit Scoring data set is partitioned to training and test samples. Then, the black box model (Neural Network) is trained on the […]
N2_03_AutoML_with_Surrogate
You can find a related description of this workflow at https://wikidocs.net/edit/page/201493. However, they are all written in Korean.
JKISeason4-6_berti093
TAGS: JKISeason4-6
Challenge 26 - Churning Problem Part 4 - Solution
To wrap up our series of data classification challenges, consider again the following churning problem: a telecom company wants you to predict which […]
Justknimeit-S2C9
JKISeason2-9
JKISeasor2-16_tomljh_ver2
Challenge 16: The Cost of Undergraduate Studies in the US Level: Easy Description: You are a senior student in a US high school, and you are going to […]