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Machine learning online Training

Course Outline



CHAPTER 1:INSTALLATION AND CONFIGURATION

CHAPTER 2:DATA PREPROCESSING

CHAPTER 3:REGRESSION TECHNIQUES

  • Simple Linear Regression
  • Multiple Linear Regression
  • Polynomial Linear Regression
  • Support Vector Regression
  • Decision Tree Regression
  • Random Forest Regression
  • Evaluating Regression Model Performance
  • CHAPTER 4:CLASSIFICATION TECHNIQUES

    • K-Nearest Neighbors (KNN)
    • Support Vector Machine (SVM)
    • Kernel SVM
    • Naïve Bayes Classification
    • Decision Tree Classification
    • Random Forest Classification
    • Evaluating Classification Model Performance
    • >>read more>>

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