Oracle Data Visualization and Machine Learning It's been a while since my last post. Since then we have been playing with the latest versions of Oracle Data Visualisation Desktop and Oracle Analytic Cloud. I must admit that Oracle has made a significant progress with the DV tools. One of the key developments was made in the area of Machine Learning, which has been added just recently and brings machine learning algorithms closer to users. End users can actually deploy very complex algorithms with just "a click of the button". In today's post I am playing with preparing data for machine learning, creating machine learning models with different machine learning algorithms and finally applying those to new datasets in order to predict churn. Data I used a data set from Kaggle (https://www.kaggle.com/hkalsi/telecom-company-customer-churn/data). As you can see dataset is split into 4 csv files that have to be merged into one training and one test datase
Oracle Analytics & Data Science