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- 25% Support Vector Machines in Python - SVM in Python 2019

Support Vector Machines in Python: SVM Concepts & Code

$14.99Track price

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8.3/10 (Our Score)
Product is rated as #288 in category Python

You’re looking for a complete Support Vector Machines course that teaches you everything you need to create a Support Vector Machines model in Python, right?

You’ve found the right Support Vector Machines techniques course!

How this course will help you?

A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course.

If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Support Vector Machines.

Why should you choose this course?

This course covers all the steps that one should take while solving a business problem through Decision tree.

Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre–processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.

Instructor Details

Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners. Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey. Founded by Abhishek Bansal and Pukhraj Parikh. Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python. Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.

Specification: Support Vector Machines in Python: SVM Concepts & Code

Duration

6 hours

Year

2022

Level

All

Certificate

Yes

Quizzes

Yes

15 reviews for Support Vector Machines in Python: SVM Concepts & Code

3.8 out of 5
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  1. Kabir Rokon

    Nice

    Helpful(0) Unhelpful(0)You have already voted this
  2. Pukhraj Parikh

    Good course

    Helpful(0) Unhelpful(0)You have already voted this
  3. Juari Ritter M ller

    Good course on anaconda data pre processing and calculation but the lessons don’t have a logical order (there are pratical tutorials in the beginning and introductions at the end)

    Helpful(0) Unhelpful(0)You have already voted this
  4. Francisco Marcelo da Silva Lima

    Gostei da metodologia e as repeti es com data sets diferentes.

    Helpful(0) Unhelpful(0)You have already voted this
  5. Sandeep244872@Gmail.Com

    from where we have to download dataset

    Helpful(0) Unhelpful(0)You have already voted this
  6. Ebrahim Zamani

    first of the accent! worse than that inconsistency in the flow!!

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  7. Rihem mahmoud

    Yes exactly

    Helpful(0) Unhelpful(0)You have already voted this
  8. Raefsafsefi

    good

    Helpful(0) Unhelpful(0)You have already voted this
  9. Deepak Yadav

    I learned a lot of things from this course and I think it will improve my skills more.

    Helpful(0) Unhelpful(0)You have already voted this
  10. Waqas Ahmad

    Best for Beginners. For intermediate and expert not recommended.

    Helpful(0) Unhelpful(0)You have already voted this
  11. Pragyan prakash

    Till Now I find the audio and quality of video better. It should contain some theory of SVM at the beginning which made you loose 1 point.

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  12. Gaurang Awatade

    This course does not explain theory behind machine learning concepts , rather it applies ML models using functions of pandas and numpy. It is a decent course who wishes to get familiar with data preprocessing on built in datasets.

    Helpful(0) Unhelpful(0)You have already voted this
  13. Honey

    nice, Simple topic

    Helpful(0) Unhelpful(0)You have already voted this
  14. Premanand S

    Till now its good.. hope will continue with the same clarity!

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  15. Mohammad Tawhid Gias

    It was a nice course

    Helpful(0) Unhelpful(0)You have already voted this

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    Support Vector Machines in Python: SVM Concepts & Code
    Support Vector Machines in Python: SVM Concepts & Code

    $14.99

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