Lesson 2 Revisiting the Machine Learning Pipeline [1] Episode 1 - Introduction [2] Episode 2 - Input Data [3] Episode 3 - Data Annotation [4] Episode 4 - Feature Encoding [5] Episode 5 - K-Nearest Neighbours Algorithm [6] Episode 6 - Bias-Variance Tradeoff [7] Episode 7 - Train and Test Distributions [8] Episode 8 - Baselines and Confusion Matrices [9] Episode 9 - Recap [10] Exercise 2 - The Machine Learning Pipeline Revisited Chapter : Lesson 2 Episode 1 - Introduction face Josiah Wang Welcome back machine learners! It’s time to continue your machine learning journey!