Machine Learning applied to manufacturing processing
Learn to develop a machine learning project to real world problems in manufacturing processes
What you will learn
How to apply machine learning techniques to real world problems in the area of manufacturing
Learn to implement useful and popular machine learning algorithms
Learn what manufacturing processing is
Learn about supervised and unsupervised machine learning approaches
Learn to train a machine learning model
Learn how to apply machine learning to a power plant
Learn how a real data analysis project is developed
Learn how to work with data files and load for data analysis
Learn how to use free python libraries for machine learning
Learn how to use jupyter notebook as a tool to develop a machine learning project
Get valuable insights from data analysis and build a report
Description
In this course, you are going to learn how to develop a machine learning project to solve real-world problems that you can find in the manufacturing area.
You will learn the more practical and useful algorithms that can help you to do predictions and work with big data.
If you are not familiar with machine learning and manufacturing, don't worry, because, in this course, you will learn the necessary to understand these manufacturing areas and machine learning thinking, so easily you will apply these techniques to this field.
And as we know, the best way to learn is making, so we will develop a project using python, in which we are going to analyze a real production power plant and we are going to develop different machine learning in order to predict the production of electricity based on various variables.
So, get started in machine learning with this amazing course and start to learn a bit about how machine learning can improve the manufacturing world.