The Automated Machine Learning with TPOT, H2O, and AutoKeras Course will teach you the necessary Automated Machine Learning (AutoML) Techniques. You will learn about many tools, such as TPOTs, AutoML, AutoKeras, and H2O. This class aims to improve your skills in solving optimisation problems.
This is an exercise-based course, and you will master the topics in each section with exercises. In the first one, you will use Automl techniques to automate the process of building and optimising machine learning models to detect credit card fraud. These algorithms explore the models and find the best one for detecting fraudulent transactions. The second exercise is called “AutoKeras on MNIST data,” and during this one, you will automate the process of building and tuning deep neural networks.
The third exercise of the course helps you use H2O. You will use H2O to predict whether the customer will stop using a service or not; in other words, you will build a predictive model. We have another exercise to teach you about the Tree-based Pipeline optimisation tool and how to use it to predict insurance-related outcomes.
The last exercise is Sales Prediction using H2O. During this one, you will predict future sales based on your data and some other factors. This is a great beginner course; don’t hesitate to join us!
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