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The Top 5 Machine Learning Libraries in Python

The Top 5 Machine Learning Libraries in Python

A Gentle Introduction to the Top Python Libraries used in Applied Machine Learning

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Course Highlights

  • 2 hours of E-learning content, tests etc

  • Compatible on mobile devices & TV

  • Gain Lifetime access to content

  • Earn a certificate of completion

  • On demand video

Mode of learning: Online self study

Course Overview

What are the course deliverables ?
  • You'll receive the completely annotated Jupyter Notebook used in the course.

  • You'll be able to define and give examples of the top libraries in Python used to build real world predictive models.

  • You will be able to create models with the most powerful language for machine learning there is.

  • You'll understand the supervised predictive modeling process and learn the core vernacular at a high level.

More about this course
  • A machine learning engineer is a person who builds predictive models, scores them and then puts them into production so that others in the company can consume or use their model.  They are usually skilled programmers that have a solid background in data mining or other data related professions and they have learned predictive modeling. In this course, we are going to take a look at what machine learning engineers do. We are going to learn about the process of building supervised predictive models and build several using the most widely used programming language for machine learning: Python. There are literally hundreds of libraries we can import into Python that are machine learning related. A library is simply a group of code that lives outside the core language. We â??import itâ?? into our work space when we need to use its functionality. We can mix and match these libraries like Lego blocks.

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    Reviews

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    4.5

    Based on 1 Ratings

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    Harshith S

    Python Feels kind of Better now

    Initially i had no idea how to use python and machine learning concepts. After taking this certification course and working on some mini projects, now i feel i can start working on Mega projects as well. These libraries will be so much helpful when working with machine learning projects. Looking forward to working on some projects. Will take other courses as well to improve the knowledge, as one course generally wouldn't be enough to gain all the knowledge for that technology.

    Frequently Asked Questions

    How can I take this course?
    This course is delivered by an instructor through online videos and other documents only. You will be redirected to our partner site for making the payment and then accessing this course. You do not have to go to any classroom in any place for taking this course. You need an internet connection and a computer/laptop/mobile/tablet only.
    Is there a specific time within which I should complete my courses?
    Courses do not expire, and therefore, there is no time frame to complete your courses. Once you purchase this course, you can view it as many times as you want. You can do the course as fast or slow as you want. You can also view it from any machine in the world, whenever you want - forever.
    Do I get a certificate on taking this course?
    On completing the course, you will get a course completion certificate from Udemy.
    Do I get a refund in case I do not like this course?
    We have 7 days exchange policy. Please send email to services@naukri.com in case you have any issues related to the courses you have purchased. We don’t provide any refunds. Please inform about course(s) that you want in exchange of the ones purchased earlier and our support team will help you. This policy will not be applicable if the participant has accessed more than 30% of the e-Learning content or has attended more than 1 class. Applicable only through courses purchased through Naukri Learning. For others, please contact the course provider directly.
    I have some other question. Where can I get help?
    Please send email to e-learning@naukri.com or call our toll-free number 1800-103-4702.
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