Machine Learning No-Code Approach: Using Azure ML Studio

This course has been designed keeping in mind technologists with no coding background as we use a “no-code approach”. It is very hands-on, and you will be able to develop your own models while learning. We will cover:

– Basics of the main three main types of Machine Learning Algorithms

– Supervised Learning in depth

– Classification by using the Titanic Dataset

– Understanding and selecting the features from the dataset

– Changing the metadata of features to work better with ML Algorithms

– Splitting the data

– Selecting the Algorithm

– Training, scoring, and evaluating the model

– Regression by using the Melbourne Real Estate Dataset

– Cleaning missing data

– Stratifying the data

– Tuning hyperparameters

– Deploying the models to a Excel

– Providing web service details to developers in case you want to integrate with external systems

– Azure ML Cheat Sheet

The course also includes 4 assignments with solutions that will give you an extra chance to practice your newly acquired Machine Learning skills.

In the end you will be able to use your own datasets to help your company with data prediction or, if you just want to impress the boss, you will be able to show the new tool you have just added to your toolbelt.

If you are not a coder and thought there would be no place for you to ride the Machine Learning wave, think again. You can not only be part of it, but you can master it and become a Machine Learning hero with Azure ML Studio.

Enroll today and I will see you inside!