Machine Learning Pipeline
Take free Machine Learning Pipeline course & learn to solve real world problems in various domains.
4.53
Intermediate
3.0 Hrs
4K+
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About this course
Machine learning is one of these domains that is aiming to solve problems in almost all of the other domains out there. The applications of Machine Learning are nearly endless as is and the list just keeps growing. Since the domain is trending with regards to how easy it is able to solve multiple problems, it becomes key that you as a learner are aware of how best you can put these algorithms to use and solve real-world problems. Keeping exactly this in mind, we here at Great Learning have come up with this course helping you understand the Machine Learning pipeline in detail and further reinforce the concepts of how you could use it to solve real-world problems in multiple domains.
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Course Outline
Introduction to Machine Learning and Linear Regression
Data is the soul of Machine Learning, and there are specific methods to deal with it efficiently. This module first introduces Machine Learning and talks about the mathematical procedures involved. You will learn about supervised and unsupervised learning, Data Science Machine Learning steps, linear regression, Pearson's coefficient, best fit line, and coefficient of determinant. Lastly, you will be going through a case study to help you effectively comprehend Machine Learning concepts.
Introduction on Machine Learning Pipeline
Data Preparation
Formatting Data
Data Transformation
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