Developing a RESTful API with Python, Flask, Docker, and pytest

Priyal | DS & ML on Instagram: "1. Sentiment Analysis API Description: Train a text sentiment classifier and serve it via an API for real-time predictions. Tech Stack: FastAPI, Flask, Scikit-learn, Hugging Face, Docker, Python 2. Data Versioning and Model Reproducibility Description: Use DVC to version datasets, models, and pipelines for reproducible ML experiments. Tech Stack: DVC, Git, Scikit-learn, Python 3. Model Packaging with Docker Description: Containerize a trained ML model to ensure co