Working with big data

Lesson 4: Working with Machine Learning Algorithms

• 4.1. Learning objectives Page
• 4.2. Grasp the concepts of machine learning and implement the k-nearest neighbors algorithm Page
• 4.3 Understand the basics of distance metrics and implement euclidean distance and cosine similarity Page
• 4.4. Transform raw data into a matrix and convert a text document into the vector space model Page
• 4.5. Use k-nearest neighbors to make predictions Page
• 4.6. Improve execution time by reducing the search space Page