End-to-End Machine Learning Project: From EDA to MLOps Integration
Offered By: freeCodeCamp
Course Description
Overview
Embark on a comprehensive 2-hour and 48-minute course that guides you through an end-to-end machine learning project, focusing on core concepts and advanced MLOps integration. Master the art of conducting thorough Exploratory Data Analysis (EDA) to craft compelling data narratives. Delve into feature engineering with a deep understanding of the why and how. Learn to implement a single model with rigorous testing and validation procedures. Develop skills in writing scalable, defensive, and readable code using design patterns. Gain hands-on experience integrating MLOps tools like ZenML and MLflow for efficient experiment tracking and deployment. Access the provided initial documentation and code repository to enhance your learning experience. This course, developed by @AyushSinghSh, equips you with the essential skills to tackle real-world machine learning projects from start to finish.
Syllabus
End-to-End Machine Learning Project – AI, MLOps
Taught by
freeCodeCamp.org
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent