Decision Tree Classifier Explained with Python | Mini Project & Accuracy Check
Decision Tree Classifier Explained with Python | Mini Project & Accuracy Check Learn how to build and visualize a Decision Tree Classifier in Python step by step! 🚀 In this video, we cover: ✔️ Splitting dataset into train & test sets ✔️ Training a Decision Tree Classifier ✔️ Measuring accuracy with confusion matrix & classification report ✔️ Visualizing the tree using Matplotlib This is part of our Data Science Mini Projects in Python series. Perfect for beginners and intermediate learners preparing for Machine Learning, AI, and Data Science interviews. 👉 Don’t forget to check our playlist for Logistic Regression, Decision Tree, and upcoming ML algorithms like Random Forest, SVM, and more! #DecisionTree #MachineLearning #Python #DataScience #AI #MiniProjects #MLAlgorithms #Classification #ConfusionMatrix #Visualization Thank you for watching.. If you have queries please drop a message in the comment box. For related videos regarding Python, matlab and weka please do subscribe my channel like and share my video. Contact: +91 9487514279 Email: [email protected] [email protected] Follow us at these links youtube link : / rarekindphd. . / @rarekindsolutions3220 Facebook page link: / rarekind-phd. . Blog link : rarekindphdsolutions.blogspot.com Quora link : www.quora.com/q/rarekindphdsolutions Twitter link : / rarekindphd #rarekindsolutions #rarekindphdsolutions
