No prior ML experience required; Python familiarity is helpful.Covers NumPy, pandas, and scikit-learn for ML workflows.Teaches end-to-end ...
Linear and logistic regression implementation.Decision trees, random forests, SVMs, K-NN, and ensemble methods.Unsupervised learning with ...
End-to-end pipelines: data ingestion, preprocessing, model training.Projects include housing price prediction and medical diagnosis ...
Portfolio-ready projects for job applications.Learn to preprocess, train, evaluate, and deploy models.Prepare for roles like ML Engineer, ...
Emphasis on scikit-learn and Python ML ecosystem.Covers regression, classification, clustering, and ensemble techniques.Limited coverage of ...
No prior Quarkus experience required; beginner-friendly.Covers Quarkus CLI, Maven plugin, and project setup.Introduces microservice ...
Develop CRUD REST endpoints using JAX-RS.Build real-time chat microservices with WebSockets.Expose GraphQL APIs with SmallRye integration. ...
Emphasizes microservice architecture and Quarkus features.Covers REST, WebSockets, GraphQL, and persistence.Does not cover Docker, ...
Gain hands-on experience building resilient microservices.Learn REST, GraphQL, WebSocket, and database integration.Understand fault ...
Hands-on exercises for each Quarkus module.Create REST endpoints, integrate APIs, and build WebSocket services.Expose GraphQL queries and ...
