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.
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.