Aplicar conceptos avanzados de machine learning como: Pipelines, Validación cruzada, etc
Entrenar y optimizar un modelo de XGBoost
Desarrollar un modelo completo de Machine learning, desde el pre-procesamiento de datos hasta la validación del modelo
Este proyecto es un curso práctico y efectivo para aprender Machine Learning con Python. Aprenderás todos los pasos de desarrollo de un modelo y a evaluar su desempeño. Aprenderás de manera práctica y aplicada a desarrollar un modelo completo de Machine learning, desde el pre-procesamiento de datos hasta la validación del modelo. También aprenderás a aplicar conceptos avanzados de machine learning como: pipelines, validación cruzada o XGBoost.
Python Programming
Machine Learning
Xgboost
Advanced Machine Learning
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Ingesta y análisis exploratorio de datos (EDA)
Tratamiento de valores faltantes
Tratamiento de variables categóricas
Tratamiento de variables numéricas
Pipelines
Validación cruzada
XGBoost y ajuste de hiperparámetros
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
Guided Projects are not eligible for refunds. See our full refund policy.
Financial aid is not available for Guided Projects.
Auditing is not available for Guided Projects.
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
More questions? Visit the Learner Help Center.
