July 6, 2022, 12:03 p.m. | Tirendaz Academy

Towards AI - Medium pub.towardsai.net

A practical guide on how to implement random forests with grid search technique using scikit-learn.

Photo by liu sicheng on Unsplash

One model may make a wrong prediction. But if you combine the predictions of several models into one, you can make better predictions. This concept is called ensemble learning. Ensembles are methods that combine multiple models to build more powerful models. Ensemble methods have gained huge popularity during the last decade. There are two essential ensemble models based on …

artificial intelligence data science decision-tree machine learning python random random-forest

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Data Engineer

@ Quantexa | Sydney, New South Wales, Australia

Staff Analytics Engineer

@ Warner Bros. Discovery | NY New York 230 Park Avenue South