How to deploy Machine Learning Models on IBM Cloud

Deploying Machine Learning Models on IBM Cloud

This course is intended for anyone with basic to intermediate experience in machine learning who wants to improve skills in regression but most importantly learn how to deploy machine learning models on IBM Cloud whether they be regressors or classifiers. By the end of this course you will know how to do that and have a little refresher on data visualization and data analysis. Do not worry if you pay attention in one of the videos I show you how to solve and prevent many problems when registering the model as well as many other things. You will do predictions to evaluate the model and a prediction post deployment. Do not worry about the quizzes if you pay attention to the videos and do the exercises you will easily do well. But most importantly enjoy and have fun learning something new or a minor refreshment on a few things you might have forgotten about. If you want to use another dataset and feel comfortable in doing so feel free and go to kaggle or platform to get your own data set. If that is what you want to do if not feel free then to use this dataset found on Kaggle.

What you’ll learn

  • Learn how to deploy Machine Learning Models on IBM Cloud.
  • Learn to use Watson Machine Learning.
  • Learn to use Watson Studio.
  • Improve Machine Learning Skills in Regression.
  • Create Deployment Space.
  • Register Models.
  • To use several regressors.
  • To visualize predictions.
  • Get predictions From a deployed model.
  • How to Create Training Jobs.
  • How to Create a Notebook.

Course Content

  • Introduction –> 1 lecture • 1min.
  • Model Development and Preparation for Deployement –> 6 lectures • 23min.
  • Deployment and Predictions –> 5 lectures • 7min.

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Requirements

  • Intermediate Python Experience.
  • Basic Machine Learning Experience.
  • Basic Cloud Concepts.
  • Have an active IBM Cloud account.

This course is intended for anyone with basic to intermediate experience in machine learning who wants to improve skills in regression but most importantly learn how to deploy machine learning models on IBM Cloud whether they be regressors or classifiers. By the end of this course you will know how to do that and have a little refresher on data visualization and data analysis. Do not worry if you pay attention in one of the videos I show you how to solve and prevent many problems when registering the model as well as many other things. You will do predictions to evaluate the model and a prediction post deployment. Do not worry about the quizzes if you pay attention to the videos and do the exercises you will easily do well. But most importantly enjoy and have fun learning something new or a minor refreshment on a few things you might have forgotten about. If you want to use another dataset and feel comfortable in doing so feel free and go to kaggle or platform to get your own data set. If that is what you want to do if not feel free then to use this dataset found on Kaggle.

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