Descriptions
End-to-end machine learning, Dive in The Immerse yourself in the world of machine learning and learn how to design, train, and deploy end-to-end models in this comprehensive course. Through engaging real-world examples and hands-on exercises, you’ll learn to tackle complex data problems and build powerful ML models. By the end of this course, you’ll have the skills needed to build, monitor, and maintain high-performing models that deliver actionable insights.
begin from Learn The basics of exploratory data analysis (EDA) and data preparation – you’ll clean and preprocess your data and make sure it’s ready for model training. Next, you’ll master the art of feature engineering and feature selection to optimize your models for real-world challenges. Learn how to use the Boruta library for feature selection, log experiments with MLFlow, and optimize your models using k-fold cross-validation. Discover the secrets of effective error metrics and diagnose overfitting to set your models up for success. You‘ll Also explore the importance of feature stores and model registries in end-to-end ML frameworks. Learn how to deploy and monitor your model performance over time using Docker and AWS. Understand the concept of data drift and how to detect it using statistical testing. Implement feedback loops, retraining, and labeling strategies to maintain the performance of your models in the face of constantly changing data. transform Expand your machine learning expertise with this comprehensive, hands-on course and become an end-to-end ML pro!
What you will learn
- design and exploration
- Model Training and assessment
- Model Mission
- Model surveillance
End-to-end machine learning specifications
- Publisher : Data Camp
- Teacher: Joshua Stapleton
- Language: English
- Level: All levels
- Number of courses: 4
- Duration: 4 hours to complete the course
Contents of End-to-End Machine Learning
Requirements
- scikit-learning
- MLOps concepts
Pictures
Sample clip
installation Guide
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Subtitles: English
Quality: 720p
Download links
Password file(s): free download software
File size
87MB