********ANSWER IN PYTHON ONLY*****************

Link to titanic.txt - https://raw.githubusercontent.com/gsprint23/cpts215/master/progassignments/files/titanic.txt

PA5 Decision Trees (100 pts) Due: Learner Objectives At the conclusion of this programming assignment, participants should be able to: . Understand decision trees Building from a training set of examples Classifying new examples Implement the ID3 tree building algorithm .Understand k-fold cross validation Visualize trees Prerequisites Before starting this programming assignment, participants should be able to: Write object-oriented code in Python Implement a tree ADT and common tree algorithms Write Markdown and code cells in Jupyter Notebook Create plots with matplotlib Acknowledgments Content used in this assignment is based upon information in the following sources: sci-kit learn machine learning library Data Science from Scratch by Joel Gru:s PA5 Decision Trees (100 pts) Due: Learner Objectives At the conclusion of this programming assignment, participants should be able to: . Understand decision trees Building from a training set of examples Classifying new examples Implement the ID3 tree building algorithm .Understand k-fold cross validation Visualize trees Prerequisites Before starting this programming assignment, participants should be able to: Write object-oriented code in Python Implement a tree ADT and common tree algorithms Write Markdown and code cells in Jupyter Notebook Create plots with matplotlib Acknowledgments Content used in this assignment is based upon information in the following sources: sci-kit learn machine learning library Data Science from Scratch by Joel Gru:s