Decision Tree Hyperparameters Visualized — Watch the Decision Boundary Change | ML Algorithms

Most people understand hyperparameters in theory — but can't SEE what they actually do. In this video, I built a live dashboard and visualized the exact impact of each Decision Tree hyperparameter on the decision boundary, in real time. What you'll learn in this video: → How max_depth controls overfitting vs underfitting → What min_samples_split and min_samples_leaf actually change visually → How max_features, criterion, and splitter affect the tree → How max_leaf_nodes and min_impurity_decrease shape the boundary → Why these hyperparameters work TOGETHER, not in isolation Dataset used: Telecom Customer Churn Features: Contract Type | Monthly Charges | Support Tickets ━━━━━━━━━━━━━━━━━━━━━━ This is Part 1 of my NEW Playlist: "Hyperparameter Visualization for Every ML Algorithm" Next up → Support Vector Machines ━━━━━━━━━━━━━━━━━━━━━━ Timestamps: 00:00 – Intro: Decision Tree Hyperparameters 00:45 – Scikit-learn docs walkthrough: all parameters explained 01:30 – Problem statement: Telecom churn dataset 02:50 – Decision tree structure: root, internal nodes & leaf nodes 03:30 – Classification vs Regression tree comparison 04:50 – Dashboard intro: decision boundary visualizer 05:40 – max_depth: depth 1 vs depth 4 — underfitting to fitting 07:00 – min_samples_split & min_samples_leaf in action 08:10 – max_features (log2), criterion (log_loss), splitter (random) 08:20 – Feature importance chart 09:00 – max_leaf_nodes: constraining leaves directly 09:50 – min_impurity_decrease: pruning weak splits 10:47 – End If this helped you understand decision trees better than any textbook ever did — like the video and subscribe. More algorithms coming every week. #machinelearning #decisiontree #Data #Python #ScikitLearn #Hyperparameters #MLVisualization #DecisionBoundary #Overfitting #MLTutorial #AIEducation #LearnAI #ArtificialIntelligence #DataScientist #MLEngineer #AIwithManvinder #MachineLearningTutorial #DataScienceBeginners #PythonMachineLearning #SklearnTutorial