No-Code and No-Math Machine Learning | Udemy


No-Code and No-Math Machine Learning | Udemy [Update 09/2022]
English | Size:
Genre: eLearning

Machine learning for everyone! Google Vertex AI, Data Robot AI, Obviously AI, Big ML, Microsoft Azure and Orange!

What you’ll learn
Build machine learning models to use on real problems without a single line of code and no math skills
Use the main tools applied in classification, regression and time series forecasting problems
Implement machine learning in the following tools: Google Vertex AI, Data Robot AI, Obviously AI, Big ML, Microsoft Azure and Orange
Learn how to deploy machine learning models

If you want to learn machine learning but you feel intimidated by programming or math fundamentals, this course is for you!

You are going to learn how to build projects using six tools that do not require any prior knowledge of computer programming or math! This course was designed for you to create hands-on projects quickly and easily, without a single line of code. It is suitable for beginners and also for students with intermediate or advanced knowledge, who need to increase productivity but at the same time do not have the time to implement code from scratch. You can perform exploratory data analysis, build, train, test and put machine learning models into production with a few clicks!

We are going to cover 6 tools that are widely used for commercial projects: Google Vertex AI, Data Robot AI, Obviously AI, Big ML, Microsoft Azure Machine Learning, and Orange! All projects will be developed calmly and step by step, so that you can make the most of the content. There is an exercise along with the solution at the end of each section, so you can practice the steps for each tool! There are more than 30 lectures and 5 hours of videos!

Who this course is for:
People interested in building real machine learning models without a single line of code
People interested in starting their studies in Machine Learning and Data Science
Students who have little programming or math experience
Undergraduate and graduate students who are studying subjects related to the area of Artificial Intelligence

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