ksron / mlops_tutorials

Mini projects for MLOps

MLOps_tutorials

Mini projects for MLOps

Projects

1. [Environment Setup] Real-time Product Category Classification

Setting up an environment for real-time product category classification.

2. [Monitoring Pipeline] NLP Model Serving for Efficient E-commerce Operation

Establishing a pipeline for real-time API serving of NLP models and monitoring usage based on authentication for enhancing efficiency in e-commerce.

3. [MLOps Pipeline] Financial Anomaly Detection

Constructing a pipeline for conducting financial anomaly detection.

4. [Environment Configuration] Financial Anomaly Detection

Setting up an environment for effectively monitoring and enhancing performance of the financial anomaly detection pipeline.

5. [Model Optimization] Bank Marketing Data

Exploring the ML cycle and optimizing models using MLFlow based on bank marketing data.

6. [MLOps Pipeline] Credit Approval Data

Hands-on practice of understanding, registering, and deploying models using credit approval data in the ML cycle.

7. [Environment Setup] Named Entity Recognition Used in Chatbots

Establishing a container-native learning environment for named entity recognition utilized in chatbots.

8. [Model Serving] Triton Inference Server for Multi ML/DL Framework

Utilizing Triton Inference Server for high-performance model serving across multiple ML/DL frameworks.

9. [CT Pipeline] Manufacturing Anomaly Detection

Building a pipeline for continuous model evaluation, retraining, and model updates in the manufacturing anomaly detection domain.

10. [Environment Setup] Experimenting ML Models

Setting up an independent Airflow environment for ML experimentation models.