Titanic_083_Phase_4_Modeling_DT_Parameterstudie
Titanic: Phase 4 (Modeling) Decision Tree v3 Parameterstudie URL: Data Science Training - Kapitel 8 https://data-science.training/kapitel-8/
Final_Project_Keller
Final Project - IT4015 Applied Business Intelligence Jason Keller 4/19/2022. Proposed work. Using two datasets of wine quality (red & white wines), […]
JKISeasor2-19_tomljh_ver5
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 […]
JKISeason02-09_rev00
In this challenge, your goal is to see which features are the most important in predicting the quality of wine. After doing this analysis, you should create […]
VistaMinableDelitos2025I
2. Revise las numerizaciones realizadas, quE opina de ellas? se podría mejorar algo? Si es así, hágalo.
kn_example_ml_variable_importance_re_engineering
Re-Engineering the variable importance by feeding the Score (of a binary classification) into a numeric model that provides variable importance
JKISeason2-9
Challenge 09: What Matters for Wine Quality?
07_Intensity_Measurement
This workflow demonstrates a statistical intensity measurement of a cell segmentation.
03.2_Missing_value_imputation_on_Spark
The company tracks the usage of the website and stores the information about each session. - Various data are collected, e.g., session start, duration, # […]
03.2_Missing_value_imputation_on_Spark
The company tracks the usage of the website and stores the information about each session. - Various data are collected, e.g., session start, duration, # […]