Predict lung cancer malignancy, using Azure AI ML studio, using Deep learning (low code-no code)
Amigos, in this blog, I will try to show how we can implement Azure ML Studio to predict complex forecasting answers, with the help of Azure Pipelines and ML jobs. I have covered how to setup Azure ML learning studio and pieplines, earlier in my blogposts: https://subsd365.blogspot.com/2024/08/implement-no-code-predicitve-modelling.html https://subsd365.blogspot.com/2024/09/step-by-step-azure-ml-job-to-predict.html This post would give you an impression as to how leverage large datasets to evaluate a complex possibility (any patient having chances of relapses of a disease like Cancer/ its malignancy), by doing Classification based algorithm, without practically writing a single line of code. Here goes the steps: Step 1: Creating a data-ML job -- Once you have created An Azure ML Studio Workspace, you can crawl down to Automated ML Jobs section as shown below: Click on Add and the following screen would come: Fill it out, as shown. In the experiment, I have selected New experiment...