Unit 3.6 | Training a Logistic Regression Model in PyTorch | Part 2

Unit 1 | Welcome to Machine Learning and Deep Learning

Unit 1.1 | What is Machine Learning? | Part 1 | How does it work?

Unit 1.1 | What is Machine Learning? | Part 2 | How does it relate to deep learning?

Unit 1.2 | How Can We Use Machine Learning? | Part 1 | Common Application Areas

Unit 1.2 | How Can We Use Machine Learning? | Part 2 | The Three Classic Categories

Unit 1.3 | A Typical Machine Learning Workflow

Unit 1.4 | The First Machine Learning Classifier | Part 1 | Defining the Prediction Task

Unit 1.4 | The First Machine Learning Classifier | Part 2 | Making Predictions

Unit 1.4 | The First Machine Learning Classifier | Part 3 | The Training Process

Unit 1.4 | The First Machine Learning Classifier | Part 4 | Perceptron Training by Example

Unit 1.4 | The First Machine Learning Classifier | Part 5 | Weight Updates

Unit 1.4 | The First Machine Learning Classifier | Part 6 | Perceptron Decision Boundary