How to deploy Machine Learning Models on IBM Cloud
This course is for anyone with basic to intermediate machine learning experience who wants to improve their regression skills while also learning how to deploy machine learning models on the IBM Cloud, whether they are regressors or classifiers. You'll know how to do it by the end of this course, and you'll have a refresher on data visualization and data analysis. Do not be concerned if you pay attention to one of the videos that demonstrates how to solve and avoid a variety of problems when registering the model and other issues.
You'll make predictions to evaluate the model, as well as a prediction after it's been deployed. You will easily pass the quizzes if you pay attention to the videos and complete the exercises. But above all, enjoy and have fun learning something new or brushing up on a few things you may have forgotten about. If you'd like to use a different dataset and are comfortable doing so, go to Kaggle or platform and create your own. If that's not what you're looking for, feel free to use this Kaggle dataset.
Who this course is for:
- Those who want to learn to deploy Machine Learning Models on IBM Cloud
- Those who want to improve Machine Learning Skills in Regression
Requirements
- Intermediate Python Experience
- Basic Machine Learning Experience
- Basic Cloud Concepts
- Have an active IBM Cloud account
Course ratings: 5.0/5
Enroll here: https://www.udemy.com/course/how-to-deploy-machine-learning-models-on-ibm-cloud/
