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Practical Machine Learning with Scikit-Learn

Practical Machine Learning with Scikit-Learn

How To Get This Course For Free ? 

  1. Click On Enroll Now.
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  3. Than Log in And Sign Up In Udemy Website.
  4. Now Click On Enroll Now.
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Course Details –:

Published by:
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What you'll :-

  • How to implement regression, classification and boosting algorithms
  • Which algorithms work best for a given dataset
  • preprocessing

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Machine learning is a rapidly growing field. However, a lot of on the internet today do not go over some of it's most powerful algorithms. In this course, we will learn multiple , along with data preprocessing, all in under an hour. We will go over regression, classification, component analysis and boosting all in scikit-learn, one of the most popular machine learning libraries for .
Algorithms we'll go over (in order):

  • Polynomial Regression
  • Multiple Linear Regression
  • Support Vector Machines
  • Decision Trees
  • Random Forest
  • Principle Component Analysis
  • Gradient Boosting
  • XGBoost
Who this course is for:
  • People looking to get into AI but don't know where to start
  • People who want to build accurate models as quickly as possible
Enroll Now -:
Free 12800 100% off

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Source -: UDEMY

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