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Machine learning online Training
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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
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