What is Supervised Machine Learning

•  In Supervised Machine Learning data is Labeled.
• In Supervised Machine Learning input variable (independent variable) x is match with output variable (depended variable) y.
• Supervised Learning is to map the input variable (x) with the output variable (y).

• Types of Supervised Machine Learning Algorithms
• Regression
• Numeric
• It is used where depended and independent variable has relationship.
• where is value is continues.
• where weather forecasting, market trend
• Linear Regression
• Polynomial Regression
• Regression Trees

• Classification
• categorial (Yes/No, Black/White, True/False, Male/Female, Day/Night)
• Random Forest
• Decision Trees
• Logistic Regression
• Support Vector Machines.

• Advantages of Supervised Machine Learning

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