01_Fraud_Detection_Training_Exercise
Exercise of the L4-DL Deep Learning Specialization course. The goal of this exercise is to train an autoencoder model to detect fraudulent […]
01_Fraud_Detection_Training_Solution
Exercise of the L4-DL Deep Learning Specialization course. The goal of this exercise is to train an autoencoder model to detect fraudulent […]
01_Fraud_Detection_Training_Exercise
Exercise of the L4-DL Deep Learning Specialization course. The goal of this exercise is to train an autoencoder model to detect fraudulent […]
01_Fraud_Detection_Training_Solution
Keras Autoencoder for Fraud Detection - Training Exercise of the L4-DL Introduction to Deep Learning Course. The goal of this exercise is to train an […]
01_Fraud_Detection_Training_Solution
Exercise of the L4-DL Deep Learning Specialization course. The goal of this exercise is to train an autoencoder model to detect fraudulent […]
KNIME Data Science Learnathon - Group 2B - (Optional) External ML Library, AutoML and XAI
Solution to the optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification model - Train a […]
KNIME Data Science Learnathon - Group 2B - (Optional) External ML Library, AutoML and XAI
Solution to the optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification model - Train a […]
Session_03b_demo_multiple dimensions
Session_03b_demo_multiple dimensions This workflow shows how to illustrate high dimensional data with Sunburst chart and Prallel coordinates […]
Predict behavior to retain customers
Model Training for Predict behavior to retain customers. About Dataset. Content. Each row represents a customer, each column contains customer’s attributes […]
02 Application test - Prediction workflow output
This test is especially important before the deployment but can also be executed regularly when the workflow is already deployed.