Understanding Machine Learning with Python

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Understanding Machine Learning with Python

Course Details

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  • On demand

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Pluralsight online courses
Pluralsight's mission is to publish high quality online training courses for professional developers, IT admins and creative artists. Over 750,000 Learners have already made use of the 3,500+ Courses available in this extensive library. Pluralsight delivers world-class training that¹s easy to comprehend and quick to learn. That¹s the beauty of being taught by experts. Course authors are an elite group of tech and creative professionals, innovators and leaders. As a subscriber, you are ...
Pluralsight's mission is to publish high quality online training courses for professional developers, IT admins and creative artists. Over 750,000 Learners have already made use of the 3,500+ Courses available in this extensive library. Pluralsight delivers world-class training that¹s easy to comprehend and quick to learn. That¹s the beauty of being taught by experts. Course authors are an elite group of tech and creative professionals, innovators and leaders. As a subscriber, you are connected with authors through discussion boards for ongoing, real-time learning. Courses give you the experience and skills you need to succeed on the job and grow your career. With downloadable exercise files, you can follow along with the video to practice applying your new skills. Pre- and post-course assessments track your progress. When you successfully complete a course, we you receive a certificate and an official transcript to validate and build your online resume.

Provider Subject Specialization
Sciences & Technology
Business & Management
10 reviews

Course Description

When working with data, machine learning can be used to do incredible things, including predicting future events. Its ease of use combined with the power of scikit-learn is causing Python to become the preferred development language for many machine learning practitioners. In this course, Understanding Machine Learning with Python, you will learn how Python developers and data scientists use machine learning to predict the likelihood of events based on data. Throughout this course, you will use Python and the scikit-learn library. Specifically, you will learn how to format your problem to be solvable, how to prepare your data for use in a prediction, and finally how to combine that data with algorithms to create models that can predict the future, all performed in the Jupyter Notebook environment. By the end of this course, you will have a better understanding of how machine learning can help you put your data to good use in predicti... When working with data, machine learning can be used to do incredible things, including predicting future events. Its ease of use combined with the power of scikit-learn is causing Python to become the preferred development language for many machine learning practitioners. In this course, Understanding Machine Learning with Python, you will learn how Python developers and data scientists use machine learning to predict the likelihood of events based on data. Throughout this course, you will use Python and the scikit-learn library. Specifically, you will learn how to format your problem to be solvable, how to prepare your data for use in a prediction, and finally how to combine that data with algorithms to create models that can predict the future, all performed in the Jupyter Notebook environment. By the end of this course, you will have a better understanding of how machine learning can help you put your data to good use in predicting future events, and you'll also know how to use Python to make it happen.
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