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jxareas
GitHub Repository: jxareas/Machine-Learning-Notebooks
Path: blob/master/1_Supervised_Machine_Learning/Week 3. Classification/_Learning Objectives.md
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Week 3: Classification

This week, you'll learn the other type of supervised learning, classification. You'll learn how to predict categories using the logistic regression model. You'll learn about the problem of overfitting, and how to handle this problem with a method...

Learning Objectives

  • Use logistic regression for binary classification

  • Implement logistic regression for binary classification

  • Address overfitting using regularization, to improve model performance

Classification with logistic regression

Motivations - Video • Duration: 9 min

Optional lab: Classification - Lab • Duration: 1 h

Logistic regression - Video • Duration: 9 min

Optional lab: Sigmoid function and logistic regression - Lab • Duration: 1 h

Decision boundary - Video • Duration: 10 min

Optional lab: Decision boundary - Lab • Duration: 1 h

Practice quiz: Classification with logistic regression

Practice quiz: Classification with logistic regression

Cost function for logistic regression

Cost function for logistic regression - Video • Duration: 11 min

Optional lab: Logistic loss - Lab • Duration: 1 h

Simplified Cost Function for Logistic Regression - Video • Duration: 5 min

Optional lab: Cost function for logistic regression - Lab • Duration: 1 h

Practice quiz: Cost function for logistic regression

Practice quiz: Cost function for logistic regression

Gradient descent for logistic regression

Gradient Descent Implementation - Video • Duration: 6 min

Optional lab: Gradient descent for logistic regression - Lab • Duration: 1 h

Optional lab: Logistic regression with scikit-learn - Lab • Duration: 1 h

Practice quiz: Gradient descent for logistic regression

Practice quiz: Gradient descent for logistic regression

The problem of overfitting

The problem of overfitting - Video • Duration: 11 min

Addressing overfitting - Video • Duration: 8 min

Optional lab: Overfitting - Lab • Duration: 1 h

Cost function with regularization - Video • Duration: 9 min

Regularized linear regression - Video • Duration: 8 min

Regularized logistic regression - Video • Duration: 5 min

Optional lab: Regularization - Lab • Duration: 1 h

Practice quiz: The problem of overfitting

Practice quiz: The problem of overfitting

Week 3 practice lab: logistic regression

Week 3 practice lab: logistic regression - Programming Assignment • Duration: 3 h

Acknowledgments

Acknowledgments - Reading • Duration: 10 min