Python is increasingly used behind the scenes by large businesses and organizations to develop models that are helping to predict business and trading outcomes, financial and customer scope, detect crimes, improve health care systems, accelerate the manufacturing sector, track activities, give social media recommendations, and a lot more.
In this Python machine learning course, you will begin by learning the basics of creating machine learning models from datasets and then transit to develop the ability to optimize and customize models for solving specific challenges, using real-world datasets.
At the end of this course, you will get a full comprehension of what supervised learning entails, begin to build predictive models, refine their parameters and foresee their performance with future datasets. You will be achieving all these using the popular sci-kit-learn ML python library.
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