Description:
Embark on a comprehensive 4-hour journey to master end-to-end deep learning project implementation for Kidney Disease Classification. Learn to set up a GitHub repository, create project templates, and install necessary requirements. Dive into essential modules like logging, exception handling, and utilities. Explore project workflows, data ingestion, base model preparation, and model training. Integrate MLflow for model evaluation and implement DVC pipelines. Develop prediction pipelines and user applications. Finally, tackle Dockerization and AWS CICD deployment to bring your project to life.
End-to-End Deep Learning Project: Kidney Disease Classification with MLflow, DVC, and Deployment
Add to list
#Computer Science
#Deep Learning
#Business
#Project Management
#Programming
#Software Development
#Version Control
#GitHub
#Machine Learning
#Model Evaluation
#Model Training
#Data Science
#Data Engineering
#Data Ingestion
#MLFlow
#DVC
0:00 / 0:00