Machine Learning (ML) is all about the ability of computers to learn and improve their performance all by themselves - without humans having to program them to do so. Python is a popular and powerful interpreted language used to create ML applications. This course teaches you how to define problems, prepare data, evaluate algorithms, improve and present results using Python.
Upon completion of this course, you will be able to use Python programming language to create ML programs using regression, classification, and clustering techniques. Key topics covered include:
|Introduction To Machine Learning Course||00:09:48|
|Different Methods How Machine Learning Works||00:08:36|
|Different Types of Predictions and Statistics||00:06:35|
|Different Types of Data||00:13:27|
|Statistical Methods in Detail||00:25:01|
|Supervised Learning Regression||00:14:57|
|Supervised Learning Classification||00:23:43|
|Unsupervised Learning Clustering||00:24:37|
Lifetime access to lecture videos, study materials
Assessment on practice with quiz for each topic
Certificate on completion
Internationally valid certificate on
successful completion of the course
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