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Given: 1. Linear Regression 2. Logistic Regression 3. Nave Bayes 4. Linear Discriminant Analysis 5. Quadratic Discriminant Analysis 6. Singular value decomposition (SVD) 7. Principle
Given: 1. Linear Regression 2. Logistic Regression 3. Nave Bayes 4. Linear Discriminant Analysis 5. Quadratic Discriminant Analysis 6. Singular value decomposition (SVD) 7. Principle component analysis (PCA) Select any dataset from Internet (the source shall be provided) with at least 50 observations and at least 5 attributes. Choose any 2 of the above-mentioned methods to analyze the data. You shall: - decide on the variables to be used - explain your choices of the variables and methods - Interpret all the results - provide your codes with comments
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