Support Vector Machines in Python – SVM in Python 2019

Free Certification Course Title: Support Vector Machines in Python – SVM in Python 2019

Learn Support Vector Machines in Python. Covers basic SVM models to Kernel-based advanced SVM models of Machine Learning.

Support Vector Machines in Python - SVM in Python 2019
Support Vector Machines in Python – SVM in Python 2019
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Requirements:

  • Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same.

What you’ll learn:

  • Get a solid understanding of Support Vector Machines (SVM).
  • Understand the business scenarios where Support Vector Machines (SVM) is applicable.
  • Tune a machine learning model’s hyperparameters and evaluate its performance.
  • Use Support Vector Machines (SVM) to make predictions.
  • Implementation of SVM models in Python.
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Course Content:

UdemySVM

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Who this course is for:

  • People pursuing a career in data science.
  • Working Professionals beginning their Data journey.
  • Statisticians needing more practical experience.
  • Anyone curious to master the SVM technique from Beginner to Advanced in a short span of time.

This course includes:

  • 6 hours of on-demand video.
  • 2 articles.
  • 4 downloadable resources.
  • Full lifetime access.
  • Access on mobile and TV.
  • Certificate of Completion.

Created by Start-Tech Academy

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