Course Content
Part – 1
Part 1 Supervised Learning
- Liner Regression
- Logistics Regression
- Support Vector Machines (SVM)
- Na¨ıve Bayes
- Ordinal Regression
- Multinomial Regression
- k-Nearest Neighbor Classification
- Decision Tree
- GINI Dacesion Tree
- Bootstrap Aggregating (Bagging),
- Random forest Resembling ,
- Support vector machine
- Neural Network
- Deep Learning
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Part -2