02.2 ELT on website usage data - transform big data on cloud and Spark
<p>The company tracks the usage of the website and stores the information about different actions during each session: login and logout times, opened pages, […]
02_Fraud_Detection_Deployment_Exercise
Keras Autoencoder for Fraud Detection - Deployment Exercise of the L4-DL Introduction to Deep Learning Course. The goal of this exercise is to apply a […]
02_Fraud_Detection_Deployment_Exercise
Exercise of the L4-DL Deep Learning Specialization course. The goal of this exercise is to apply a trained autoencoder to new transactions, in order to […]
02_Fraud_Detection_Deployment_Exercise
Exercise of the L4-DL Deep Learning Specialization course. The goal of this exercise is to apply a trained autoencoder to new transactions, in order to […]
02_Fraud_Detection_Deployment_Exercise
Exercise of the L4-DL Deep Learning Specialization course. The goal of this exercise is to apply a trained autoencoder to new transactions, in order to […]
02_Fraud_Detection_Deployment_Solution
Exercise of the L4-DL Deep Learning Specialization course. The goal of this exercise is to apply a trained autoencoder to new transactions, in order to […]
Set value on lagged row multi-column-conditions with adjacent rows (b)
Demonstration workflow to lag multiple columns to test adjacent rows and then apply rules based on the lagged columns
02_Fraud_Detection_Deployment_Solution
Keras Autoencoder for Fraud Detection - Deployment Exercise of the L4-DL Introduction to Deep Learning Course. The goal of this exercise is to apply a […]
02_Fraud_Detection_Deployment_Solution
Exercise of the L4-DL Deep Learning Specialization course. The goal of this exercise is to apply a trained autoencoder to new transactions, in order to […]
02_Fraud_Detection_Deployment_Solution
Exercise of the L4-DL Deep Learning Specialization course. The goal of this exercise is to apply a trained autoencoder to new transactions, in order to […]