Free Webinar: Walking the Random Forest and boosting the trees Online

Apr 18, 2018 · London, United Kingdom

Deep Learning is all the rage, but ensemble models are still in the game. With libraries such as the recent and performant LightGBM, the Kaggle superstar XGboost or the classic Random Forest from scikit-learn, ensembles models are a must-have in a data scientist’s toolbox. They’ve been proven to provide good performance on a wide range of problems, and are usually simpler to tune and interpret. This talk focuses on two of the most popular tree-based ensemble models. You will learn about Random Forest and Gradient Boosting, relying respectively on bagging and boosting. This talk will demonstrate how to apply these techniques on a real-world business problem in a live-coding session using the latest implementations available in the Python ecosystem.

To receive the link make sure you register for our free webinar series: https://cambridgespark.com/webinar

Speaker: Kevin Lemagnen, Senior Data Scientist

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  • London - Cambridge Spark

    Cambridge Spark is a learning community for developers and data scientists. We provide a platform to help individuals become more employable and relevant. With a focus on teaching in-demand skills aligned with industry requirements and cutting-edge techniques in data science and software development.  Through intensive Bootcamps and free community events, you will learn in-demand new skills, connect with leading experts, and get involved with a dynamic community of like-minded individuals.  www.cambridgesp

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