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Udemy – Machine Learning with Imbalanced Data

Hau Van Vo by Hau Van Vo
May 18, 2021
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Machine Learning with Imbalanced Data
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Machine Learning with Imbalanced Data Free Download. Learn multiple techniques to tackle data imbalance and improve the performance of your machine learning models.

Machine Learning with Imbalanced Data Description

Contents

  • 1 Machine Learning with Imbalanced Data Description
    • 1.1 Requirements
    • 1.2 What you’ll learn
    • 1.3 Who this course is for:
  • 2 Machine Learning with Imbalanced Data Free Download

Requirements

  • Knowledge of machine learning basic algorithms, i.e., regression, decision trees and nearest neighbours
  • Python programming, including familiarity with NumPy, Pandas and Scikit-learn

Complete Intro to Linux and the Command-Line – Frontend masters

What you’ll learn

  • Under-sampling methods at random
  • Under-sampling methods which focus on observations that are harder to classify
  • Under-sampling methods that ignore potentially noisy observations
  • Over-sampling methods to increase the number of minority observations
  • Ways of creating syntethic data to increase the examples of the minority class
  • SMOTE and its variants
  • Use ensemble methods with sampling techniques to improve model performance
  • The most suitable evaluation metrics to use with imbalanced datasets

Who this course is for:

  • Data Scientists and Machine Learning engineers working with imbalanced datasets

Machine Learning with Imbalanced Data Free Download

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HOW TO DOWNLOAD COURSE

Content From: https://www.udemy.com/course/machine-learning-with-imbalanced-data/

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Hau Van Vo

Hau Van Vo

Hello everyone, my name is Hau Vu, my nickname is Hau Van Vo. I created this blog to share with everyone the courses on different platforms My motto is "No pain, no gain"

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