Description
End-to-End Machine Learning, a machine learning training course to discover how to design, train and deploy end-to-end models is published by Datacamp Academy. Enter the world of machine learning with this comprehensive course and discover how to design, train and deploy final models. Through engaging examples and hands-on exercises, you’ll learn to tackle complex data problems and build powerful ML models. At the end of this course, you will be equipped with the skills needed to create, monitor, and maintain high-performance models while providing actionable information. You will begin by learning the basics of exploratory data analysis (EDA) and data preparation. You clean and preprocess your data and make sure it’s ready to train the model. You will then master the art of feature engineering and selection to optimize your models for real-world challenges.
You will learn how to use the Borota library for feature selection. You log experiments with MLFlow and tune your models using k-fold cross-validation. You will discover the secrets of effective error metrics. You will also explore the importance of feature stores and model registration in end-to-end ML frameworks. You’ll learn how to test and monitor your model’s performance over time using Docker and AWS. You will understand the concept of data drift and how to detect it using statistical tests. You implement feedback loops, retraining, and labeling strategies to maintain the performance of your models in the face of ever-changing data.
What you will learn
- Design and exploration
- Model training and evaluation
- Model deployment
- Supervise the model
End-to-End Machine Learning course specifications
- Publisher: Datacamp
- teacher : Joshua Stapleton
- English language
- Education level: all levels
- Number of courses: 4
- Training duration: 4 hours to complete the course
End-to-End Machine Learning course chapters
Course prerequisites
- scikit-learn
- MLOps Concepts
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
87 MB
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