Heart Disease - Machine Learning Case - LightGBM Hyper Parameter Optimization
use KNIME / Python and LightGBM to build a model - Hyperparameter tuning with BayesSearchCV and Optuna - also preparing data with vtreat some parameters […]
MS-196 Learning Curves v05
[Market Simulation] MS-196 Learning Curves Simulates how Customers overcome their mistrust of Products and move up the 'Learning Curve' as they become […]
Feature Engineering
----------------------------------------------------------------------------------------------------------------------------------------------------------- […]
training
This workflow has the goal to predict the probability that a given person has diabetes, based on some of their biological values. The pipeline is divided in […]
GIULIO_3
There has been no description set for this workflow's metadata.
final_workflow
There has been no description set for this workflow's metadata.
workflow_lorenzo V3
There has been no description set for this workflow's metadata.
Telecom Churn Prediction workflow
<h1 style="text-align: center"><strong>Customer Churn Prediction</strong></h1><h2 style="text-align: center"><strong><u>KNIME: Hackathon - […]
Auto feature generation workflow
Auto feature engineering workflow There are two workflows: One for data which is not large. Full (or 80% of data) can be used for training and rest for […]