🌳 Understanding Decision Tree Algorithm
What is a Decision Tree?
Imagine you're playing a game of Twenty Questions. 🤔 Someone thinks of an object, and you have to guess what it is by asking a series of yes-or-no questions. A Decision Tree works pretty much the same way! It's like a flowchart that helps us make decisions based on input data.
They are easy to interpret and visualize.
🔵Root Node: The top node in a decision tree where the first split occurs.
🔵Internal Node: Nodes that have child nodes and represent a decision based on a feature.
🔵Leaf Node: Terminal nodes that predict the outcome.
🔵Splitting: Dividing a node into sub-nodes based on a feature.
🔵Pruning: Removing parts of the tree to avoid overfitting.
Xeven Solutions Muhammad Irfan, Dr. Rao Faizan Ali - Ph.D. Computer Science and Informatics, Dr. Sheraz Naseer - (PhD Artificial Intelligence, Data Science), Muhammad Haris Tariq, #DataEngineer #MachineLearningEngineer #DataScientist #DataAnalyst #DataRoles #JobTitles #DataJobs #DataScience #TechCareers #CareerPath #DataAnalysis #MachineLearning #DataSkills #TechIndustry #BigData #DataDriven #DataProfessions #DataInsights #TechJobs