High Performance Asynchronous Workflow Scripting Library
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Updated
Dec 23, 2025 - Python
High Performance Asynchronous Workflow Scripting Library
This is a one-day machine learning introductory course for beginners
ML scientific job orchestration platform: FastAPI API, Celery Worker, PostgreSQL DB, RabbitMQ broker, and React frontend for spectral analysis, data preprocessing, and active‐learning workflows 🪐
predicts bike rental demand based on historical data from the Kaggle Bike Sharing Demand competition. The goal is to build an accurate regression model to forecast hourly rental counts using weather, calendar, and temporal data. We leverage AutoGluon’s TabularPredictor for rapid model development, feature engineering, hyperparameter optimization
Datacmp is a lightweight Python library for inspecting and preparing datasets. It offers summaries, column cleaning, and smart missing value handling - perfect for ML and data science workflows.
End-to-end AWS ML project that builds and deploys an image classification model for Scones Unlimited to distinguish bicycles from motorcycles. Includes SageMaker training/deployment, Lambda-based inference services, Step Functions workflow orchestration, and monitoring for scalable, production-ready ML ops.
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