How to Implement Decision Trees in Python (Train, Test, Evaluate, Explain)

►► All you need to know about Pandas in one place! Download my Pandas Cheat Sheet (free) - https://misraturp.gumroad.com/l/pandascs 👩‍💻 Lesson code: https://github.com/misraturp/Decision-Tree-Implementation In this video, we look into implementing Decision Tree algorithms with Python on a Jupyter Notebook using Scikit-learn. We look into how to change the decision tree algorithm settings, how we can use the explainability feature, how to apply early stopping and more. 👋 Keep in touch? ========================== 🐥 Twitter - https://twitter.com/misraturp 🔗 LinkedIn - https://linkedin.com/in/misraturp/ 📹 YouTube - https://youtube.com/@misraturp 🌎 Website - https://misraturp.com/ Courses & resources ============================ 📙 Fundamentals of Deep Learning in 25 pages https://misraturp.gumroad.com/l/fdl 🤖 Deep Learning 101 with Python and Keras (FREE) https://youtube.com/playlist?list=PLM8lYG2MzHmQn55ii0duXdO9QSoDF5myF 🏃‍♀️ Data Science Kick-starter mini-course (FREE) https://misraturp.gumroad.com/l/kick-starter 🐼 Pandas cheat sheet (FREE) https://misraturp.gumroad.com/l/pandascs 📝 NNs hyperparameters cheat sheet (FREE) https://misraturp.gumroad.com/l/hcs