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Home Machine Learning Hands-On

Machine Learning Hands-On

86+ Hours | 11 Online Courses | Verifiable Certificate of Completion | Lifetime Access

  • 4.6

Self-Paced Training

  • Learning Path
  • Certificate
  • Reviews
  • FAQ

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This Learning Path includes:

  • 86+ Hours
  • 11 Online Courses
  • Lifetime Access
  • Certificate
  • Learning Path

    Courses No. of Hours Certificates Details

    Section 1

    Mathematical and Statistics Foundations fo...8h 24m✔
    Machine Learning using Python3h 26m✔
    Machine Learning with SciKit-Learn in Pyth...8h ✔

    Section 2

    Machine Learning with Tensorflow13h 29m✔
    Hands-on Deep Learning Training10h 8m✔

    Section 3

    Machine Learning with R20h 22m✔
    Machine Learning with MATLAB2h 15m✔
    Projects and Case Studies on Machine Learn...4h 6m✔

    Section 4

    Bayesian Machine Learning: A/B Testing57m✔
    Octave Machine Learning Training - Beginne...3h 34m✔
    Artificial Intelligence and Machine Learni...12h 15m✔

    Section 5

    Test - Machine Learning Assessment
    Test - ML Assessment Exam
    Test - Mock Exam Machine Learning
    Test - Complete Machine Learning Exam
    Test - Machine Learning Ultimate Exam

    Course Curriculum

  • certificate

    certificate
  • reviews

    Matthew Rolley

    Machine Learning - Statistics Essentials

    I really enjoyed this course, and found the statistical approaches useful - especially the regression and cluster sampling sections. The course pacing was easy to understand, and the topics covered in a comprehensive but not over-explained way. Thanks for giving such an interesting and useful course!

    Matthew Rolley Linked

    Ezinne Amadi

    [email protected]

    Excellent job! Every step was well explained, and I will gladly recommend this course to any beginner.

    Ezinne Amadi Linked

    Tsui Man Kit

    Machine Learning with R

    The course covers a wide range of areas into linear and multiple linear regression and decision tress. It also covers both theory and application using R neural network , time series analysis and gradient boosting machines. I have enjoyed learning in this course very much and found it useful in my work.

    Tsui Man Kit Linked

    Keerthi Vasan

    Machine Learning with R

    This was a really interesting course. I had prior knowledge regarding data analytics, including descriptive, prescriptive and predictive modelling using various tools, but this course was different. This taught me a lot of things which I did not know as a person who was good in statistics and probability. Overall the course was Good.

    Keerthi Vasan

    Attila Nagy

    Summary

    This course is good and it shows practical examples as well. However in the first part it shows examples with not appropriate enlarge, so the commands and the outputs are not properly visible. I suggest to include more practical examples related to MatLab. The second part's examples are clearly visible.

    Attila Nagy Linked

    Greg Kowalczyk

    Artificial Intelligence & Machine Learning Training

    I was googling tutorials looking for Artificial Intelligence & Machine Learning Training. this is the best possible course, because the tutor is very knowledgeable. The course is not too fast - just perfect pace to absorb the new concepts. Very well explained and taught. I'd definitely recommend it!

    Greg Kowalczyk Linked

    Rakesh Mohan Mohapatra

    Awesome Course

    Thanks team for this awesome set of videos on Artificial Intelligence and Machine Learning. Found it really useful, specifically from the placement point of view. Now I have a good overview about the subject.I believe it would be beneficial for all students who are interested to know more about AI&ML.

    Rakesh Mohan Mohapatra Linked

  • faqs

    1. Can I access this course from anywhere?

    Yes, you can definitely access this course from anywhere & everywhere. Once you are registered for this Online Training Bundle, you will get your own login credentials which you can use to access the video materials and other contents from anywhere.

    1. Is there a Classroom Training available for this Online Training?

    All our courses are available online so as to enable any user, who may have limited time, to study his courses of choice online. The training materials are accessible 24*7 for the users.

    1. Who are the Instructors for this Online Training?

    The instructors are Industry based professional who have had tons of experience in the field of Online Training. All the courses in this bundle are based on Industry based standards. Also the courses have been started from Scratch to get the participant well-acquainted with each and every Online Training concept.

    1. Are there any Certification Courses for Online Training available in this Online Training bundle?

    Yes, there are certification courses available for the same in this Ultimate Online Training Bundle. To name a few- PMI-ACP Exam Prep – PMI Agile Certified Practitioner Training, PMP Exam Prep Training, NCFM based Modules, ITIL Modules, CFA Training etc.

    1. When will I receive my certificate for any course?

    You will receive certificate for completing each course in the Online Training Bundle. Once you have seen more than 70% of the training material in any course, you can issue your certificate.

    1. Are there any Pre-requisites for enrolling to this Online Training Bundle?

    No, there are no pre-requisites for this training. Anyone who is keen to learn about specific Industry based domains can enroll for this Ultimate bundle.

    1. Will I get any technical Support during my Training at eduCBA?

    Yes, you will be getting technical Support from eduCBA. In case you have any technical issue, you can drop us a mail or call us to get your doubts cleared.

    1. What are the Payment Options?

    There are both Online & Offline Payment options available. In online payment options you pay by Credit Card, Debit Card or Net Banking. In offline payment option you can deposit Cash, Cheque or Demand Draft.

    1. What if I have more Queries?

    Just drop us a mail on [email protected]

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