Supervised Machine Learning : Regression and Classification

Regression

Week1

-Simple Linear Regression and Cost Function Visualization. - cost function for linear regreesion : w * x + b -Training the model with gradient descent

Week2

• Multiple variable linear regression with vectorization
• Feature scaling and feature Engineering
  • traditional Normalization
  • Mean Normalization
  • Z-Score Normalization
• Choosing the learning rate "alpha"
• Polynomial Regression

Programming Assignment

• Linear Regreesion

Week3

• Classification with logistic regression
• Cost function and gradient descent for logistic regression
  • Cost function for linear regreesion (sigmoid function) : $$g = \frac{1}{1 + e^{-z}}$$ , where z = w * x + b
• Solving the problem of overfitting with regularization

Programming Assignment

• Logistic Regreesion