How to build XGBoost models in Python
With a step-by-step example
This is a practical guide to XGBoost in Python.
Learn how to build your first XGBoost model with this step-by-step tutorial.
Decision Tree
This is a practical guide to XGBoost in Python.
Learn how to build your first XGBoost model with this step-by-step tutorial.
This is a beginner’s guide to gradient boosting in machine learning.
Learn what it is and how to improve its performance with regularization.
This is a complete tutorial for the random forest in machine learning.
Learn how to improve your decision tree with ensembling with Python sklearn example.
This is a complete tutorial to the decision tree model and algorithm in machine learning.
Learn how to create predictive trees with Python example.
Decision trees are a very popular machine learning model. The beauty of it comes from its easy-to-understand visualization and fast deployment into production.
Check out this tutorial for a 3 step procedure for visualizing a decision tree in Python.
In this post, we apply machine learning algorithms on YouTube data, to make recommendation on content creation strategies. We will include the end-to-end process of:
– Scraping the YouTube data
– Using NLP on the video titles
– Feature engineering
– Building predictive decision trees
– And more
All in Python.