Module 4: Machine Learning Basics

Topics Covered

• What is Machine Learning?

  Machine Learning is a subset of Artificial Intelligence where machines learn from data to make predictions:

  • Supervised Learning: Learning from labeled data
  • Unsupervised Learning: Learning from unlabeled data
  • Reinforcement Learning: Learning by interacting with the environment
• Types of Machine Learning Algorithms

  Common machine learning algorithms include:

  • Linear Regression
  • Decision Trees
  • Support Vector Machines
  • K-Nearest Neighbors
• Model Evaluation

  Model evaluation metrics help assess the performance of a machine learning model:

  • Accuracy, Precision, Recall
  • Confusion Matrix
  • Cross-validation