Getting Started
  • Introduction
  • Course Curriculum & Tips to Succeed
  • What is Machine Learning?
  • The Two Types of Machine Learning
  • Installing Anaconda Navigator and Spyder
Data Processing in Python
  • Reading Datasets
  • Data Scaling
  • One-Hot Encoding
  • Python Reference Sheet
Linear Regression
  • What is Linear Regression?
  • Understanding the Cost Function
  • The Intuition behind Gradient Descent
  • Scenario #1
  • Implementing Linear Regression | Part #1
  • Implementing Linear Regression | Part #2
  • Implementing Linear Regression | Part #3
  • Implementing Linear Regression | Part #4
  • Final Words
Logistic Regression
  • What is Logistic Regression?
  • A Brand New Cost Function
  • Adjusting the Gradient Descent Alogirthm
  • Scenario #2
  • Implementing Logistic Regression | Part #1
  • Implementing Logistic Regression | Part #2
  • Implementing Logistic Regression | Part #3
  • Final Words
Intro to Neural Networks & Conclusion
  • What is a Neural Network?
  • Structure of Neural Networks
  • Conclusion