KDnuggets

AUGUST 21, 2019

This tutorial covers decision trees for classification also known as classification trees, including the anatomy of classification trees, how classification trees make predictions, using scikit-learn to make classification trees, and hyperparameter tuning.

Decision Trees 293

Decision Trees Python 293

KDnuggets

AUGUST 21, 2019

You'll learn how to create a decision tree, how to do tree bagging, and how to do tree boosting. Check out this tutorial walking you through a comparison of XGBoost and Random Forest.

Decision Trees 213

Decision Trees Algorithm Python 213

KDnuggets

AUGUST 26, 2019

Understanding Decision Trees for Classification in Python; How to Become More Marketable as a Data Scientist; Is Kaggle Learn a Faster Data Science Education? Also: Deep Learning for NLP: Creating a Chatbot with Keras!;

Data Scientist 123

Data Scientist Decision Trees Deep Learning Deep Learning 123

Mlearning.ai

AUGUST 20, 2023

Decision Trees and Random Forests are scale-invariant. 2019) Data Science with Python. 2019) Applied Supervised Learning with Python. 2019) Python Machine Learning. Feature scaling ensures that each feature has an effect on a model’s prediction. References: Chopra, R., England, A. Johnston, B.

Machine Learning 52

Machine Learning Machine Learning Algorithm Python 52

Heartbeat

SEPTEMBER 13, 2023

Here's an example of calculating feature importance using permutation importance with scikit-learn in Python: from sklearn.inspection import permutation_importance # Fit your model (e.g., Decision trees can be trained and visualized in rule-based explanations to reveal the underlying decision logic. Singh, S. &

Machine Learning 52

Machine Learning Machine Learning AI AI 52